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Gu SY, Chen FM, Zhang CS, Zhou YB, Li TY, Qiang N, Zhang XX, Liu JS, Wang SX, Yang XC, Guo XK, Hu QQ, Deng XB, Han LF. Assessing food security performance from the One Health concept: an evaluation tool based on the Global One Health Index. Infect Dis Poverty 2023; 12:88. [PMID: 37737184 PMCID: PMC10514978 DOI: 10.1186/s40249-023-01135-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 09/01/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Food systems instantiate the complex interdependencies across humans, physical environments, and other organisms. Applying One Health approaches for agri-food system transformation, which adopts integrated and unifying approaches to optimize the overall health of humans, animals, plants, and environments, is crucial to enhance the sustainability of food systems. This study develops a potential assessment tool, named the global One Health index-Food Security (GOHI-FS), aiming to evaluate food security performance across countries/territories from One Health perspective and identify relevant gaps that need to be improved for sustainable food systems. METHODS We comprehensively reviewed existing frameworks and elements of food security. The indicator framework of GOHI-FS was conceptualized following the structure-process-outcome model and confirmed by expert advisory. Publicly available data in 2020 was collected for each indicator. The weighting strategy was determined by the Fuzzy Analytical Hierarchy Process. The data for each indicator was normalized and aggregated by weighted arithmetic mean. Linear regressions were performed to evaluate the associations of GOHI-FS with health and social-economic indicators. RESULTS The GOHI-FS includes 5 first-level indicators, 19 second-level indicators and 45 third-level indicators. There were 146 countries/territories enrolled for evaluation. The highest average score of first-level indicators was Nutrition (69.8) and the lowest was Government Support and Response (31.3). There was regional heterogeneity of GOHI-FS scores. Higher median scores with interquartile range (IQR) were shown in North America (median: 76.1, IQR: 75.5-76.7), followed by Europe and Central Asia (median: 66.9, IQR: 60.1-74.3), East Asia and the Pacific (median: 60.6, IQR: 55.5-68.7), Latin America and the Caribbean (median: 60.2, IQR: 57.8-65.0), Middle East and North Africa (median: 56.6, IQR: 52.0-62.8), South Asia (median: 51.1, IQR: 46.7-53.8), and sub-Saharan Africa (median: 41.4, IQR: 37.2-46.5). We also found significant associations between GOHI-FS and GDP per capita, socio-demographic index, health expenditure and life expectancy. CONCLUSIONS GOHI-FS is a potential assessment tool to understand the gaps in food security across countries/territories under the One Health concept. The pilot findings suggest notable gaps for sub-Saharan Africa in numerous aspects. Broad actions are needed globally to promote government support and response for food security.
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Affiliation(s)
- Si-Yu Gu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Fu-Min Chen
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Chen-Sheng Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China
| | - Yi-Bin Zhou
- Minhang District Center for Disease Control and Prevention, Shanghai, 201101, China
| | - Tian-Yun Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Ne Qiang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Xiao-Xi Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Jing-Shu Liu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Shu-Xun Wang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Xue-Chen Yang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Xiao-Kui Guo
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China
| | - Qin-Qin Hu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China.
| | - Xiao-Bei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Le-Fei Han
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, China.
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Hocine A, Kouaissah N, Lozza SO. XOR-analytic network process and assessing the impact of COVID-19 by sector. COMPUTERS & INDUSTRIAL ENGINEERING 2023; 177:109017. [PMID: 36714394 PMCID: PMC9868800 DOI: 10.1016/j.cie.2023.109017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 12/27/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
The consequences of any extreme event can deteriorate any system at all levels: socially, economically, and operationally. The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), provides a good example of the tremendous impact that can be produced by such extreme events. To effectively measure and mitigate the impact of the COVID-19 pandemic and relaunch the Moroccan economy, policymakers need to determine which sectors have been most impacted. Due to the high level of uncertainty and complexity surrounding this health crisis, this study first develops a new technique for dealing with decision problems under uncertainty using exclusive-or (XOR) logic, called the XOR-analytic network process (XOR-ANP). Then, the proposed technique is adopted to assess the impact of COVID-19 on seven relevant sectors (tourism, transport, industrial, financial, agriculture, education, and healthcare) by considering social, operational, and economic dimensions. The key findings show that COVID-19 has a significant impact on Moroccan's tourism, healthcare, and transport sectors, with respect to social-economic and operational dimensions by 30.99%, 21.81%, and 17.88%, respectively. These results indicate that most of the United Nations Sustainable Development Goals for 2030, such as "Healthy Lives", "Decent Work" and "Economic Growth" have been severely impacted, thus, assistance and recovery are urgently needed.
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Affiliation(s)
- Amin Hocine
- University of Bergamo, Department of MEQM, Via dei Caniana 2, Bergamo, 24 127, Italy
| | - Noureddine Kouaissah
- Africa Business School, Mohammed VI Polytechnic University, Parc Technopolis -Rabat-Shore, Rabat, Morocco
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Arora A, Gupta S, Devi C, Walia N. Customer experiences in the era of artificial intelligence (AI) in context to FinTech: a fuzzy AHP approach. BENCHMARKING-AN INTERNATIONAL JOURNAL 2023. [DOI: 10.1108/bij-10-2021-0621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
PurposeThe financial technology (FinTech) era has brought a revolutionary change in the financial sector’s customer experiences at the national and global levels. The importance of artificial intelligence (AI) in the context of FinTech services for enriching customer experiences has become a new norm in this modern era of technological advancement. So, it becomes crucial to understand the customer’s perspective. The current research ranks the factors and sub-factors influencing customers’ perceptions of AI-based FinTech services.Design/methodology/approachThe sample size for this study was decided to be 970 respondents from four Indian cities: Mumbai, Delhi, Kolkata and Chennai. The Fuzzy-AHP technique was used to identify the primary factors and sub-factors influencing customers’ experiences with AI-enabled finance services. The factors considered in the study were service quality, trust commitment, personalization, perceived convenience, relationship commitment, perceived sacrifice, subjective norms, perceived usefulness, attitude and vulnerability. The current research is both empirical and descriptive.FindingsThe study’s three top factors are service quality, perceived usefulness and perceived convenience, all of which have a significant impact on customers’ experience with AI-enabled FinTech services discussing sub-criteria three primary criteria for customers’ experience for FinTech services include: “Using FinTech would increase my effectiveness in managing a portfolio (A2)”, “My peer groups and friends have an impact on using FinTech services (SN3)” and “Using FinTech would increase my efficacy in administering portfolio (PU2)”.Research limitations/implicationsThe current study is limited to four Indian cities, with 10 factors to understand customers’ preferences in FinTech. Further research can focus on other dimensions like perceived ease of use, familiarity, etc. Future studies can have a broader view of different geographical locations and consider new tech to understand customer perceptions better.Practical implicationsThe study’s findings will significantly assist businesses in determining the primary aspects influencing customers’ experiences with AI-enabled financial services. As a result, they will develop strategies and policies to entice clients to use AI-powered FinTech services.Originality/valueExisting AI research investigated several vital topics in the context of FinTech services. On the other hand, the current study ranked the criteria in understanding customer experiences. The research will substantially assist marketers, business houses, academicians and practitioners in understanding essential facets influencing customer experience and contribute significantly to the literature.
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Panjavongroj S, Phruksaphanrat B. Selection of ERP system and the best practice by hybrid method: A case study of Thai automotive supply chain network. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-221476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Enterprise Resource Planning (ERP) gives an organization a competitive edge by centralizing organization data and collaborating among supply chain networks. There are many types of software packages available, so most of the research proposed methods for prioritizing the best system. However, they did not suggest how to implement it, or which practices should be employed. So, this paper aims to propose a framework and a method for the selection of an ERP system and the best practice for implementation at the same time. A hybrid method of Logarithmic Fuzzy Preference Programming (LFPP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) is presented for solving the problem. LFPP is reliable in obtaining weights, while DEMATEL can capture interrelationships between practices. It was applied to a case study supply chain network of a Thai automotive parts manufacturer to demonstrate the applicability; it could establish the priorities of criteria, rank alternatives, and select the appropriate practices at the same time. There is no study about software and practice selection by use of this proposed method before. The comparison of LFPP and the Fuzzy Full Consistency Method (FUCOM-F) was also performed. It shows that FUCOM-F uses a smaller number of pairwise comparisons than LFPP, but the obtained weights of LFPP are more consistent with the evaluation matrix than using FUCOM-F.
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Affiliation(s)
- Saruntorn Panjavongroj
- Thammasat University Research Unit in Industrial Statistics and Operational Research, Industrial Engineering Department, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani, Thailand
| | - Busaba Phruksaphanrat
- Thammasat University Research Unit in Industrial Statistics and Operational Research, Industrial Engineering Department, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani, Thailand
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Wang H, Xu C, Di R, Xu Z. Analytic hierarchical process with stochastic uncertainty: A case study of governmental audits in China. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.07.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques. SUSTAINABILITY 2022. [DOI: 10.3390/su14159096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Landslides are geological hazards that claim lives and affect socio-economic growth. Despite increased slope failure, some constructions, such as road constructions, are still being performed without proper investigation of the susceptibility of slope mass movement. This study researches the susceptibility of landslides in a study area encompassing a major highway that extends from Taiping to Ipoh, Malaysia. After a comprehensive literature review, 10 landslide conditioning factors were considered for this study. As novel research in this study area, multi-criteria decision-making (MCDM) models such as AHP and fuzzy AHP were used to rank the conditioning factors before generating the final landslide susceptibility mapping using Geographical Information System (GIS) software. The landslide susceptibility map has five classes ranging from very low (9.20%) and (32.97%), low (18.09%) and (25.60%), moderate (24.46%) and (21.36%), high (27.57%) and (13.26%), to very high (20.68%) and (6.81%) susceptibility for the FAHP and AHP models, respectively. It was recorded that the area is mainly covered with moderate to very high landslide risk, which requires proper intervention, especially for subsequent construction or renovation processes. The highway was overlayed on the susceptibility map, which concludes that the highway was constructed on a terrain susceptible to slope instability. Therefore, decision-makers should consider further investigation and landslide susceptibility mapping before construction.
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Selection of Supply Chain Sustainability Management System by Fuzzy Additive Preference Programming Method. Processes (Basel) 2022. [DOI: 10.3390/pr10061189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
A selection of suitable sustainability management systems (SMS) is a major part of supply chain strategies to create a competitive advantage, reduce total costs, and manage long-term sustainability. A framework and method for prioritizing supply chain SMSs are presented in this research. Analytic hierarchy process (AHP) is the most common method for alternative selection in multi-criteria decision-making (MCDM). However, complex information is mixed with ambiguity and uncertainty, which makes decision makers unable to use precise or crisp numbers, so fuzzy numbers are presented to remedy this difficulty. Therefore, this research proposes a fuzzy additive preference programming (FAPP) to select the optimum SMS for a supply chain. FAPP method can produce the unique normalized optimal priority vector of fuzzy pairwise comparison matrices for SMS selection effectively with linear constraints. The additive linear constraints can eliminate the weaknesses of existing methods and equalize the upper and lower triangular fuzzy judgments. In addition, the proposed method can identify abnormal pairs of fuzzy judgments that cause inconsistency. The proposed methodology can prioritize the key criteria which lead to the selection of the most appropriate SMS. An example of SMS selection in a rubber factory demonstrates the feasibility and validity of the proposed method.
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Zhang XX, Liu JS, Han LF, Xia S, Li SZ, Li OY, Kassegne K, Li M, Yin K, Hu QQ, Xiu LS, Zhu YZ, Huang LY, Wang XC, Zhang Y, Zhao HQ, Yin JX, Jiang TG, Li Q, Fei SW, Gu SY, Chen FM, Zhou N, Cheng ZL, Xie Y, Li HM, Chen J, Guo ZY, Feng JX, Ai L, Xue JB, Ye Q, Grant L, Song JX, Simm G, Utzinger J, Guo XK, Zhou XN. Towards a global One Health index: a potential assessment tool for One Health performance. Infect Dis Poverty 2022; 11:57. [PMID: 35599310 PMCID: PMC9124287 DOI: 10.1186/s40249-022-00979-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/25/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND A One Health approach has been increasingly mainstreamed by the international community, as it provides for holistic thinking in recognizing the close links and inter-dependence of the health of humans, animals and the environment. However, the dearth of real-world evidence has hampered application of a One Health approach in shaping policies and practice. This study proposes the development of a potential evaluation tool for One Health performance, in order to contribute to the scientific measurement of One Health approach and the identification of gaps where One Health capacity building is most urgently needed. METHODS We describe five steps towards a global One Health index (GOHI), including (i) framework formulation; (ii) indicator selection; (iii) database building; (iv) weight determination; and (v) GOHI scores calculation. A cell-like framework for GOHI is proposed, which comprises an external drivers index (EDI), an intrinsic drivers index (IDI) and a core drivers index (CDI). We construct the indicator scheme for GOHI based on this framework after multiple rounds of panel discussions with our expert advisory committee. A fuzzy analytical hierarchy process is adopted to determine the weights for each of the indicators. RESULTS The weighted indicator scheme of GOHI comprises three first-level indicators, 13 second-level indicators, and 57 third-level indicators. According to the pilot analysis based on the data from more than 200 countries/territories the GOHI scores overall are far from ideal (the highest score of 65.0 out of a maximum score of 100), and we found considerable variations among different countries/territories (31.8-65.0). The results from the pilot analysis are consistent with the results from a literature review, which suggests that a GOHI as a potential tool for the assessment of One Health performance might be feasible. CONCLUSIONS GOHI-subject to rigorous validation-would represent the world's first evaluation tool that constructs the conceptual framework from a holistic perspective of One Health. Future application of GOHI might promote a common understanding of a strong One Health approach and provide reference for promoting effective measures to strengthen One Health capacity building. With further adaptations under various scenarios, GOHI, along with its technical protocols and databases, will be updated regularly to address current technical limitations, and capture new knowledge.
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Affiliation(s)
- Xiao-Xi Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Jing-Shu Liu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Le-Fei Han
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Shang Xia
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Shi-Zhu Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Odel Y Li
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
- Shanghai Legislative Research Institute, Shanghai, People's Republic of China
| | - Kokouvi Kassegne
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Min Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Kun Yin
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Qin-Qin Hu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Le-Shan Xiu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Yong-Zhang Zhu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Liang-Yu Huang
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Xiang-Cheng Wang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Yi Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Han-Qing Zhao
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Jing-Xian Yin
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Tian-Ge Jiang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Qin Li
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Si-Wei Fei
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Si-Yu Gu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Fu-Min Chen
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Nan Zhou
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Zi-Le Cheng
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Yi Xie
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Hui-Min Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Jin Chen
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Zhao-Yu Guo
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Jia-Xin Feng
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Lin Ai
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Jing-Bo Xue
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China
| | - Qian Ye
- Zhuhai Branch, ESPRE, Beijing Normal University Zhuhai Campus, Zhuhai, Guangdong, People's Republic of China
| | - Liz Grant
- Global Health Academy, The University of Edinburgh, Edinburgh, UK
| | - Jun-Xia Song
- Food and Agriculture Organization of the United Nations, Rome, Italy
| | - Geoff Simm
- Global Academy of Agriculture and Food Systems, The University of Edinburgh, Edinburgh, UK
| | - Jürg Utzinger
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Xiao-Kui Guo
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
| | - Xiao-Nong Zhou
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China.
- National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China.
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Peeping in the minds of MOOCs instructors: using fuzzy approach to understand the motivational factors. ONLINE INFORMATION REVIEW 2022. [DOI: 10.1108/oir-04-2021-0205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeMassive open online courses (MOOCs) are among the most recent e-learning initiatives to gain widespread acceptance among universities. However, despite MOOCs' “much-documented” benefits, many questions are being raised late regarding the long-term sustainability of the open online teaching e-learning model. With high dropout rates in MOOCs courses, recent research has focused on the challenges limiting MOOCs’ growth. But most of the research is directed toward students’ perspectives, leaving the instructors’ perspective. One of the most important aspects of instructors’ perspective is the motivation for MOOCs' development and delivery.Design/methodology/approachThe present study collected the data from 25 MOOC developers of Indian origin. To prioritize or rank the motivational factor behind developing a MOOC, a fuzzy-analytical hierarchical process (F-AHP) technique was applied to the data set. The primary motivational factors considered for the study were professional development, altruism, personal development, institutional development, intrigue, monetary benefits and peer influence.FindingsThe results showed that professional development and personal development are two prime motives that drive MOOCs development. Monetary benefits and peer influence were the least important factors among all the factors considered for the study.Originality/valuePrevious studies have identified and modeled the motivational factors that contribute toward developing MOOCs. However, there was little knowledge about the hierarchy among the motivating factors. The present study fills this gap by establishing the ranking of motivational factors responsible for MOOCs development.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0205.
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Alshehri SMA, Jun WX, Shah SAA, Solangi YA. Analysis of core risk factors and potential policy options for sustainable supply chain: an MCDM analysis of Saudi Arabia's manufacturing industry. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:25360-25390. [PMID: 34845634 DOI: 10.1007/s11356-021-17558-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/12/2021] [Indexed: 06/13/2023]
Abstract
Sustainable supply chain management (SSCM) has been a tough challenge for developing economies like Saudi Arabia. Implementation of SSCM practices in the manufacturing industry has been prone to multiple risk factors that need to be identified, evaluated, and prioritized especially considering the dynamics of the manufacturing industry in a developing economy. Moreover, it is also imperative to trace out feasible and sustainable strategies to overcome the risks to SSCM practices adoption. This study serves this purpose and identifies, evaluates, prioritizes the risk factors, sub-factors, and strategies to overcome these risk factors in the implementation of SSCM practices in the manufacturing industry in Saudi Arabia. An integrated multi-criteria decision analysis approach by combining fuzzy AHP and fuzzy WASPAS methods is employed for the analyses. The fuzzy AHP analysis results show that economic risks are dominant risks followed by the managerial policy risks and environmental risks in implementing SSCM. Industrial emissions are the leading risk factors in the overall ranking of the sustainable supply chain sub-risk factors followed by market dynamics, management policy failures, financial constraints, and credit uncertainty. While evaluating the sustainable supply chain strategies using fuzzy WASPAS, it is concluded that commitment and support of top, middle, and lower level management is the most pivotal strategy to deal with the risks to SSCM in Saudi Arabia followed by establishing environmental policies and goals to adopt SSCM, and provision of the financial resources and subsidies.
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Affiliation(s)
- Sultan Mohammed A Alshehri
- College of Economics and Management, Nanjing Agricultural University, No. 1 Weigang, Nanjing, 210095, Jiangsu, People's Republic of China
| | - Wang Xue Jun
- College of Economics and Management, Nanjing Agricultural University, No. 1 Weigang, Nanjing, 210095, Jiangsu, People's Republic of China.
| | - Syed Ahsan Ali Shah
- School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, People's Republic of China.
| | - Yasir Ahmed Solangi
- School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, People's Republic of China
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11
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Gupta S, Raj S, Gupta S, Sharma A. Prioritising crowdfunding benefits: a fuzzy-AHP approach. QUALITY & QUANTITY 2022; 57:379-403. [PMID: 35345629 PMCID: PMC8943517 DOI: 10.1007/s11135-022-01359-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/20/2022] [Indexed: 06/14/2023]
Abstract
The current research aims to explore and prioritize the key benefits that influence the acceptance of crowdfunding as a fund-raising tool, either directly or indirectly. The study utilized a multidisciplinary approach to find out the varied benefits of crowdfunding. The study also prioritized the benefits by applying the buckley fuzzy-AHP technique. The results indicate the various benefits of crowdfunding. The study's results suggest fund-raising (FR), venture viability (VV), cost structure (CS), customer relationships (CR), demand building (DB), general strategy (GS), market intelligence (MI), personal sphere (PS), business ecosystem (BE), team development (TD) and product lifecycle (PL) are the benefits associated with the crowdfunding process. The findings also suggest that the topmost benefit of crowdfunding is FR. But our study has not categorized the benefits according to different types of crowdfunding, and the study's findings cannot be generalized as the study was conducted in India. The study highlighted the critical financial and non-financial benefits of crowdfunding which can help the entrepreneurs to have more insightful knowledge of the potential benefits of crowdfunding. Studying the financial and non-financial benefits of crowdfunding can further help the entrepreneurs utilize crowdfunding platforms, depending on the need, to provide the right solution to their requirements. This research is the first study to apply the buckley fuzzy-AHP technique to prioritize the multidisciplinary benefits of crowdfunding, thereby widening the knowledge base of academicians and entrepreneurs.
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Affiliation(s)
- Swati Gupta
- Sri Aurobindo College of Commerce and Management, Panjab University, Chandigarh, Ludhiana, India
| | - Sahil Raj
- School of Management Studies, Punjabi University, Patiala, India
| | - Sanjay Gupta
- Sri Aurobindo College of Commerce and Management, Panjab University, Chandigarh, Ludhiana, India
| | - Ajay Sharma
- Goswami Ganesh Dutta Sanatan Dharma College, Panjab University, Chandigarh, India
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12
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Integrated Fuzzy AHP-TOPSIS Method to Analyze Green Management Practice in Hospitality Industry in the Sultanate of Oman. SUSTAINABILITY 2022. [DOI: 10.3390/su14031118] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Climate change is the most serious threat that the modern world has ever faced. This has led to increasing attention from the government, industries, researchers, and practitioners on the theme of green practice. Due to the heightened awareness of climate change, the hospitality industry is under pressure to implement green practices and reduce the environmental impact of their operation. The research aims at understanding the indicators that define green practice in the hospitality industry and then developing a model that can be used to measure the green score. The research identifies twenty-six indicators of green practice in the hotel industry. These indicators were clustered into six different criteria. Based on the identified indicators and criteria, an integrated fuzzy AHP-TOPSIS method is proposed to calculate the green score. The fuzzy AHP method is used to calculate the weight of the criteria and indicators, while the fuzzy TOPSIS method is used to calculate the green score and rank hotels. The fuzzy AHP result shows that the criterion “Recycling and Reuse” has the highest weight among the identified criteria, while “Green Training and Incentives” has the lowest weight. The application of the proposed method is demonstrated by using a case study of hotels situated in the Sultanate of Oman. The result shows that the 4-star and 5-star hotels in the Sultanate have green scores between 0.56 and 0.641 out of 1.0 at a 95% confidence interval. The results further show that having a high star ranking hotel does not necessarily mean that the hotel is better in terms of green practice. The developed model helps the hotel industry to understand the indicator and criteria, as identified in this research work, they need to improve in order to improve their overall green management practice.
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Hybrid Fuzzy Multi-Criteria Analysis for Selecting Discrete Preferable Groundwater Recharge Sites. WATER 2022. [DOI: 10.3390/w14010107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
This study proposes a hybrid fuzzy multi-criteria methodology for the selection of the most preferable site for applying managed aquifer recharge (MAR) systems by utilizing floodwaters. The use of MAR can increase water resources for later water utilization in case of drought. In this multi-criteria problem, seven recharge sites are under consideration, based on nine criteria, aiming to make a final list of their relative ranking. A fuzzy analytic hierarchy process (FAHP) based on the logarithmic fuzzy preference programming (LFFP) method is used to determine the weights of criteria. LFFP is an optimization-based method that produces a priority vector from a fuzzy pairwise comparison matrix. Furthermore, fuzzy inference systems (FIS) based on the Mamdani approach are used to estimate the rating of each alternative with respect to the criterion examined, and then the final evaluation of the alternatives is obtained. A FIS is a fuzzy if–then rule-based system where the experts’ qualitative knowledge is translated into numerical reasoning for each individual criterion. The proposed methodology is applied in the aquifer system of the agricultural plain located to the southeast of the city of Xanthi in the Prefecture of Xanthi, NE Greece.
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Spatiotemporal Evolution of Wetland Eco-Hydrological Connectivity in the Poyang Lake Area Based on Long Time-Series Remote Sensing Images. REMOTE SENSING 2021. [DOI: 10.3390/rs13234812] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Hydrological connectivity is important for maintaining the stability and function of wetland ecosystems. Small-scale hydrological connectivity restricts large-scale hydrological cycle processes. However, long-term evolutionary studies and quantitative evaluation of the hydrological connectivity of wetlands in the Poyang Lake area have not been sufficiently conducted. In this study, we collected 21 Landsat remote sensing images and extracted land use data from 1989 to 2020, introducing a morphological spatial pattern analysis model to assess the wetland hydrological connectivity. A comprehensive method for evaluating the hydrological connectivity of wetlands was established and applied to the Poyang Lake area. The results showed that, over the course of 31 years, the wetland landscape in the Poyang Lake area changed dramatically, and the wetland area has generally shown a decreasing and then increasing trend, among which the core wetland plays a dominant role in the hydrological connectivity of the Poyang Lake area. In addition, the hydrological connectivity decreases as the core wetland area decreases. From 1989 to 2005, the landscape in the Poyang Lake area focused mainly on the transition from wetland to non-wetland. From 2005 to 2020, the conversion of wetland landscape types shows a clear reversal compared to the previous period, showing a predominant shift from non-wetland to wetland landscapes. The eco-hydrological connectivity of the wetlands in the Poyang Lake area from 1989 to 2020 first decreased, and then increased after 2005. In the early stage of the study (1989−2005), we found that the connectivity of 0.3444 in 2005 was the lowest value in the study period. A resolution of 30 m and an edge effect width of 60 m were optimal for studying the hydrological connectivity of wetlands in the Poyang Lake area. The main drivers of the changes in hydrological connectivity were precipitation and the construction of large-scale water conservation projects, as well as changes in land use. This study provides a good basis for assessing hydrological connectivity in a meaningful way, and is expected to provide new insights for maintaining and restoring biodiversity and related ecosystem services in the Poyang Lake area.
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Khan SA, Naim I, Kusi-Sarpong S, Gupta H, Idrisi AR. A knowledge-based experts’ system for evaluation of digital supply chain readiness. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2021.107262] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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16
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Evaluating Usability of Academic Websites through a Fuzzy Analytical Hierarchical Process. SUSTAINABILITY 2021. [DOI: 10.3390/su13042040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In the higher education sector, there is a growing trend to offer academic information to users through websites. Contemporarily, the users (i.e., students/teachers, parents, and administrative staff) greatly rely on these websites to perform various academic tasks, including admission, access to learning management systems (LMS), and links to other relevant resources. These users vary from each other in terms of their technological competence, objectives, and frequency of use. Therefore, academic websites should be designed considering different dimensions, so that everybody can be accommodated. Knowing the different dimensions with respect to the usability of academic websites is a multi-criteria decision-making (MCDM) problem. The fuzzy analytic hierarchy process (FAHP) approach has been considered to be a significant method to deal with the uncertainty that is involved in subjective judgment. Although a wide range of usability factors for academic websites have already been identified, most of them are based on the judgment of experts who have never used these websites. This study identified important factors through a detailed literature review, classified them, and prioritized the most critical among them through the FAHP methodology, involving relevant users to propose a usability evaluation framework for academic websites. To validate the proposed framework, five websites of renowned higher educational institutes (HEIs) were evaluated and ranked according to the usability criteria. As the proposed framework was created methodically, the authors believe that it would be helpful for detecting real usability issues that currently exist in academic websites.
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Wang Y, Yang Y. Analyzing the green innovation practices based on sustainability performance indicators: a Chinese manufacturing industry case. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:1181-1203. [PMID: 32833175 DOI: 10.1007/s11356-020-10531-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 08/13/2020] [Indexed: 06/11/2023]
Abstract
In the wake of the Paris agreement, the adoption of green innovation practices has received substantial attention throughout the world. The consumers, manufacturers, governments, and communities have started realizing the severity and intensity of environmental hazards and climate change. The manufacturing sector is one of the leading industrial waste producers and contributors to environmental pollution, posing a threat to environmental sustainability. The adoption of green innovation practices in the manufacturing sector is indispensable to ensure environmental sustainability. However, it is pivotal to identify, assess, and evaluate the green innovation aspects and sub-aspects with the perspective of sustainability performance indicators in the manufacturing industry. This study services this purpose and proposes a hybrid multi-criteria decision-making (MCDM) by combining the fuzzy analytical hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) to analyze the effects of green innovation aspects with sustainability performance of the manufacturing industry. The authors identify six green innovation aspects (criteria), twenty-four sub-aspects (sub-criteria), and three sustainability performance indicators (alternatives) for the manufacturing industry in China. The FAHP method indicates that green managerial innovation, green product innovation, and green technological innovation are the most influential aspects of implementing green innovation practices. Further, the FTOPSIS technique reveals that environmental performance is the most suitable sustainability performance indicator in adopting green innovation practices in the garment manufacturing industry of China. This research provides support to the managers and policymakers in understanding the green innovation practices in promoting sustainable development in the manufacturing industry.
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Affiliation(s)
- Ying Wang
- College of Economics and Management, |Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
| | - Yun Yang
- College of Economics and Management, |Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
- School of Physical and Mathematic Sciences, Nanjing Tech University, Nanjing, Jiangsu, China.
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18
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Arman H, Hadi‐Vencheh A, Arman A, Moslehi A. Revisiting the approximated weight extraction methods in fuzzy analytic hierarchy process. INT J INTELL SYST 2020. [DOI: 10.1002/int.22355] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Hosein Arman
- Department of Management, Najafabad Branch Islamic Azad University Najafabad Iran
| | - Abdollah Hadi‐Vencheh
- Department of Mathematics, Isfahan (Khorasgan) Branch Islamic Azad University Isfahan Iran
| | - Aref Arman
- Department of Management, Najafabad Branch Islamic Azad University Najafabad Iran
| | - Abbas Moslehi
- Department of Civil Engineering, Najafabad Branch Islamic Azad University Najafabad Iran
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19
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Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model. SUSTAINABILITY 2020. [DOI: 10.3390/su12176983] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Globalization and decentralization of production generate the intensive growth of goods and transport flows, mostly performed by the maritime transport. Ports, as the main nodes in the global logistics networks, are becoming congested, space for their expansion limited, and traffic in their hinterland congested. As a solution to these and many other hinterland-transport-related problems stands out the development of dry port (DP) terminals. Selection of their location is one of the most important strategic decisions on which depends their competitiveness in the market and the functionality of the logistics network. Accordingly, the evaluation and selection of locations for the development of the DP in accordance with the requirements of various stakeholders is performed in this paper, as a prerequisite for the establishment of an ecological, economic, and socially sustainable logistics network in the observed area. To solve this problem, a new hybrid model of multi-criteria decision-making (MCDM) that combines Delphi, AHP (Analytical Hierarchy Process), and CODAS (Combinative Distance-based Assessment) methods in a grey environment is developed. The main contributions of this paper are the defined model, the problem-solving approach based on finding a compromise solution, simultaneous consideration of the environmental, economic, and social sustainability of the DP concept and its implementation in the regional international markets. The applicability of the approach and the defined MCDM model is demonstrated by solving a real-life case study of ranking the potential DP locations in the Western Balkans region. Based on the obtained results, it is concluded that in the current market conditions, it would be most realistic to open three DP terminals, in Zagreb, Ljubljana, and Belgrade.
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20
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National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2020. [DOI: 10.3390/ijgi9060393] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Landslides are one of the most detrimental geological disasters that intimidate human lives along with severe damages to infrastructures and they mostly occur in the mountainous regions across the globe. Landslide susceptibility mapping (LSM) serves as a key step in assessing potential areas that are prone to landslides and could have an impact on decreasing the possible damages. The application of the fuzzy best-worst multi-criteria decision-making (FBWM) method was applied for LSM in Austria. Further, the role of employing a few numbers of pairwise comparisons on LSM was investigated by comparing the FBWM and Fuzzy Analytical Hierarchical Process (FAHP). For this study, a wide range of data was sourced from the Geological Survey of Austria, the Austrian Land Information System, Humanitarian OpenStreetMap Team, and remotely sensed data were collected. We used nine conditioning factors that were based on the previous studies and geomorphological characteristics of Austria, such as elevation, slope, slope aspect, lithology, rainfall, land cover, distance to drainage, distance to roads, and distance to faults. Based on the evaluation of experts, the slope conditioning factor was chosen as the best criterion (highest impact on LSM) and the distance to roads was considered as the worst criterion (lowest impact on LSM). LSM was generated for the region based on the best and worst criterion. The findings show the robustness of FBWM in landslide susceptibility mapping. Additionally, using fewer pairwise comparisons revealed that the FBWM can obtain higher accuracy as compared to FAHP. The finding of this research can help authorities and decision-makers to provide effective strategies and plans for landslide prevention and mitigation at the national level.
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21
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Pandey P, Litoriya R. Fuzzy AHP based identification model for efficient application development. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020. [DOI: 10.3233/jifs-190508] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Prateek Pandey
- Department of Computer Science & Engineering, JAYPEE University of Engineering & Technology, Raghogarh, Guna, India
| | - Ratnesh Litoriya
- Department of Computer Science & Engineering, JAYPEE University of Engineering & Technology, Raghogarh, Guna, India
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22
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An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances. SUSTAINABILITY 2020. [DOI: 10.3390/su12041602] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In an age of rapid technological advancement, the increasing need for energy and its related services to satisfy economic and social development has become a critical concern of national governments worldwide. This has triggered researchers to work on metrics for tracking and tracing energy sustainability in order to provide monitoring mechanisms for policy makers. In this regard, multicriteria decision-making (MCDM) methods are becoming more popular to deal with the multidimensional and complex nature of sustainability. We have proposed an extended and revised version of the grey relational analysis (GRA) method, which is integrated with the fuzzy analytic hierarchy process (AHP), to develop a new composite index for comparing the overall energy sustainability performances of 35 OECD member countries. Our case study revealed the performances of selected countries by providing their strengths and weaknesses based on determined criteria as well as the level of change in performances with different criteria weights. The proposed GRA model can be used in different applications of sustainability due to its flexible nature, which provides benefits from goal-oriented extensions in order to adequately capture different aspects of sustainability.
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23
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Si Mohammed A, Smail R, Chebila M. Decision making under uncertainty in the alarm systems response. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2019. [DOI: 10.1108/ijqrm-03-2019-0078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to develop an advanced decision-making support for the appropriate responding to critical alarms in the hazardous industrial facilities.
Design/methodology/approach
A fuzzy analytical hierarchy process is suggested by considering three alternatives and four criteria using triangular fuzzy numbers to handle the associated uncertainty. A logarithmic fuzzy preference programming (LFPP)-based nonlinear priority method is employed to analyze the suggested model.
Findings
A quantitative decision-making support is not only a necessity in responding to critical alarms but also easy to implement even in a relatively short reaction time. Confirmation may not be the appropriate option to deal with a critical alarm, even with the availability of the needed resources.
Practical implications
A situation related to a flammable gas alarm in a gas plant is treated using the developed model showing its practical efficiency and practicality.
Originality/value
The proposed model provides a rational, simple and holistic fuzzy multi criteria tool with a refined number of criteria and alternatives using an LFPP method to handle process alarms.
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A Hybrid Risk Assessment Model for Cardiovascular Disease Using Cox Regression Analysis and a 2-means clustering algorithm. Comput Biol Med 2019; 113:103400. [PMID: 31491657 DOI: 10.1016/j.compbiomed.2019.103400] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 08/21/2019] [Accepted: 08/22/2019] [Indexed: 02/01/2023]
Abstract
Cardiovascular disease (CVD) refers to a state that indicates narrowed or blocked blood vessels, and it can lead to cardiac arrest, chest pain (angina) or stroke. CVD is a leading cause of silent massive heart attacks and is a major threat to life. The mere prediction of the presence or absence of CVD alone is inefficient in current scenarios. Rather, a major need has arisen for the prediction of CVD, the acquisition of knowledge about CVD and the assessment of the likelihood that an individual will experience cardiac arrest. The objective of establishing an individual CVD risk assessment has been attained in this paper using a hybrid model. The CVD of an individual is due to various controllable and uncontrollable factors. The computation and analysis of all these factors are difficult and time consuming. Only a few attributes are identified to be the most critical. This optimization of the critical features is performed using a modified Differential Evolution (DE) algorithm. The identified critical factors are sufficient to predict the presence/absence of CVD. In this paper, these identified critical features of individuals are considered using Cox regression analysis that evaluates the prevalence rates of the critical attributes. These individual prevalence rates together predict the cumulative prevalence ratios of the respective individuals. This cumulative prevalence ratio of an individual, along with the class attribute, is processed using the 2-means clustering technique to determine the risk of a particular individual developing CVD. The evaluation of the risk assessment model is carried out in this paper by calculating the prediction accuracy of the Cox regression analysis and the Davies-Bouldin (DB) index for 2-means clustering. The Cox regression analysis results in a 91% CVD prediction accuracy using the critical attributes and is comparatively higher than that of other models. The DB index of 2-means clustering with specific initial means for clusters of individuals with CVD is 0.282 and that for clusters of individuals without CVD is 0.2836, which are comparatively lower than those of the traditional k-means clustering algorithm.
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25
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Abstract
Growing competition in the global market imposes the need for adequate planning of transportation processes and development of intermodal transport networks, whereby intermodal terminals play a key role. This paper proposes a methodology for prioritization of the intermodal terminal’s development features, as the procedure in its planning process, leading to the design of the intermodal terminal in accordance with the needs of various stakeholders and the principles of the sustainable development. As the stakeholders often have conflicting interests and objectives, it is necessary to consider a broad set of requirements and developmental features that enable the fulfillment of the defined requirements. In order to solve the problem this paper proposes a new hybrid multi-criteria decision-making model that combines Delphi, Analytical Network Process (ANP) and Quality Function Deployment (QFD) methods in the fuzzy environment. The applicability of the proposed model is demonstrated by solving an example of planning an intermodal terminal in Belgrade.
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Cricelli L, Famulari FM, Greco M, Grimaldi M. Searching for the one: Customer relationship management software selection. JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS 2019. [DOI: 10.1002/mcda.1687] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Livio Cricelli
- Department of Industrial EngineeringUniversity of Naples “Federico II” Naples Italy
| | - Federico Maria Famulari
- Department of Civil and Mechanical EngineeringUniversity of Cassino and Southern Lazio Cassino Italy
| | - Marco Greco
- Department of Civil and Mechanical EngineeringUniversity of Cassino and Southern Lazio Cassino Italy
| | - Michele Grimaldi
- Department of Civil and Mechanical EngineeringUniversity of Cassino and Southern Lazio Cassino Italy
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Abdel-Basset M, Nabeeh NA, El-Ghareeb HA, Aboelfetouh A. Utilising neutrosophic theory to solve transition difficulties of IoT-based enterprises. ENTERP INF SYST-UK 2019. [DOI: 10.1080/17517575.2019.1633690] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Mohamed Abdel-Basset
- Department of Operations Research, Faculty of Computers and Informatics, Zagazig University , Sharqiyah, Egypt
| | - Nada A. Nabeeh
- Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University , Al Mansurah, Egypt
| | - Haitham A El-Ghareeb
- Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University , Al Mansurah, Egypt
| | - Ahmed Aboelfetouh
- Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University , Al Mansurah, Egypt
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Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods. LAND 2019. [DOI: 10.3390/land8050079] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cash crops, which include eucalyptus, play an important role in Thailand in wood utilization. Consequently, cash crops have become a significant driving force in land use changes and low crop yield; thus, the development of an accurate cash crop suitability model is needed. The aim of this study is to evaluate the land suitability of cash crops, such as eucalyptus, which is based on Multi Criteria Decision Making (MCDM) in Nakhon Ratchasima Province in Thailand. Parametric, classical Analytical Hierarchy Process (AHP), and fuzzy AHP (FAHP) approaches integrated with Geographic Information Systems (GIS) are compared to accomplish this. Parametric approaches equally allocate importance to all factors. AHP assigns the distribution of important factors using expert opinions. FAHP accounts for the uncertainty in expert opinions, and the triangular (Tri) and trapezoidal (Tra) approaches are compared. The results demonstrated that Trapezoidal Fuzzy AHP (TraFAHP) could classify and map cash crop suitability with 90.16% accuracy, which is a higher overall accuracy than the other approaches that are based on reference map validation. Therefore, we recommend the TraFAHP method for accurately identifying cash crop suitability.
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Khanmohammadi E, Zandieh M, Tayebi T. Drawing a Strategy Canvas Using the Fuzzy Best–Worst Method. ACTA ACUST UNITED AC 2018. [DOI: 10.1007/s40171-018-0202-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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30
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Ge Y, Xiao M, Yang Z, Zhang L, Liang Y. A hybrid hierarchical fault diagnosis method under the condition of incomplete decision information system. Appl Soft Comput 2018. [DOI: 10.1016/j.asoc.2018.08.031] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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31
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Kubler S, Derigent W, Voisin A, Robert J, Le Traon Y, Viedma EH. Measuring inconsistency and deriving priorities from fuzzy pairwise comparison matrices using the knowledge-based consistency index. Knowl Based Syst 2018. [DOI: 10.1016/j.knosys.2018.09.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Dongiovanni DN, Esposito B, Marocco D, Marzullo D. Design space exploration for architecture selection: Radial Neutron Camera nuclear fusion diagnostic study case. FUSION ENGINEERING AND DESIGN 2018. [DOI: 10.1016/j.fusengdes.2018.10.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Lau HC, Ip A, Lee CKM, Ho GTS. Development of a three-tier assessment model: a case study. BENCHMARKING-AN INTERNATIONAL JOURNAL 2018. [DOI: 10.1108/bij-07-2016-0115] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe purpose of this paper is to propose a three-tier assessment model (TAM), aiming to identify and evaluate the competitiveness level of companies. The existing problem is that companies find it difficult to choose a proper model which can be deployed to benchmark with competitors in terms of their competiveness level in the marketplace. Most of the available models are not appropriate or easy to use. The proposed assessment model is able to provide an insight for better planning and preparation so as to gain a better chance of success comparing with their competitors. Most importantly, the proposal model adopts a pragmatic approach and can be implemented without going through tedious mathematical calculations and analysis.Design/methodology/approachTAM embraces three different approaches deployed in various stages of the application process. The first stage is to identify the relevant criteria using hierarchical holographic modeling and the second stage is to assess the associated weightings of these criteria used to rate the potential competitiveness of related companies. The technique used in stage two is known as fuzzy analytic hierarchy process (FAHP) which is a combination of two well-established methods including fuzzy logic and analytical hierarchical programming. In stage three, a technique known as technique for order preference by similarity to the ideal solution (TOPSIS) is adopted to benchmark the level of competitiveness covering several companies in the same industry.FindingsIn this paper, a case study is conducted in order to validate the feasibility and practicality of the proposed model. Results indicate that TAM can be easily applied in various industrial settings by practitioners in the field for supporting operations management practices.Research limitations/implicationsSignificant amount of work is needed to ensure that the proposed model can be practically deployed in real industrial settings.Practical implicationsThis proposed model is able to capitalize on the benefits of the HMM, FAHP and TOPSIS methods and offset their deficiencies. Most importantly, it can be applied to various industries without complex modification.Originality/valueThis paper suggests a hybrid model to assess competitiveness level embracing three different techniques with the unique feature which is able to provide an insight for better planning and preparation in order to excel competitors. Companies may be able to follow the procedures and steps suggested in the paper to implement the model which is proven to be pragmatic and can be applied in real situations.
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Risk Evaluation Model of Highway Tunnel Portal Construction Based on BP Fuzzy Neural Network. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2018; 2018:8547313. [PMID: 30245709 PMCID: PMC6136580 DOI: 10.1155/2018/8547313] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2017] [Revised: 05/19/2018] [Accepted: 06/19/2018] [Indexed: 11/21/2022]
Abstract
Risk assessment for tunnel portals in the construction stage has been widely recognized as one of the most critical phases in tunnel construction as it easily causes accident than the overall length of a tunnel. However, the risk in tunnel portal construction is complicated and uncertain which has made such a neural network very attractive to the construction projects. This paper presents a risk evaluation model, which is obtained from historical data of 50 tunnels, by combining the fuzzy method and BP neural network. The proposed model is used for the risk assessment of the Tiefodian tunnel. The results show that the risk evaluation level is IV, slope instability is the greatest impact index among four risk events, and the major risk factors are confirmed. According to the evaluation results, corresponding risk control measures are suggested and implemented. Finally, numerical simulation is carried out before and after the implementation of risk measures, respectively. The rationality of the proposed risk evaluation model is proved by comparing the numerical simulation results.
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A Spatial Decision Support System Framework for the Evaluation of Biomass Energy Production Locations: Case Study in the Regional Unit of Drama, Greece. SUSTAINABILITY 2018. [DOI: 10.3390/su10020531] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Zečević S, Tadić S, Krstić M. Intermodal Transport Terminal Location Selection Using a Novel Hybrid MCDM Model. INT J UNCERTAIN FUZZ 2017. [DOI: 10.1142/s0218488517500362] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Intermodal Transport (IT) allows savings in energy, time and costs, improves the quality of services and supports sustainable development of the transport system. In order to make IT more competitive it is necessary to support the development of intermodal transport terminal (ITT), whereby it is very important to make adequate decision on its location. This paper proposes a framework for the selection of the ITT location which would be most appropriate for the various stakeholders (investors, users, administration and residents). They often have conflicting goals and interests, so it is necessary to define a large number of criteria for the evaluation. A novel hybrid MCDM model that combines fuzzy Delphi, fuzzy Delphi based fuzzy ANP (fuzzy DANP) and fuzzy Delphi based fuzzy Višekriterijumska Optimizacija i kompromisno Rešenje (fuzzy DVIKOR) methods is developed in this paper with the aim of providing support to decision makers. The model is developed in the fuzzy environment in order to overcome the ambiguity and uncertainty of the decision makers’ evaluations of the criteria, sub-criteria and alternatives. The validity and applicability of the model is demonstrated by successfully resolving the problem of selecting the location of the ITT in the City of Belgrade.
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Affiliation(s)
- Slobodan Zečević
- University of Belgrade, Faculty of Transport and Traffic Engineering, Logistics Department, Vojvode Stepe 305, 11000 Belgrade, Serbia
| | - Snežana Tadić
- University of Belgrade, Faculty of Transport and Traffic Engineering, Logistics Department, Vojvode Stepe 305, 11000 Belgrade, Serbia
| | - Mladen Krstić
- University of Belgrade, Faculty of Transport and Traffic Engineering, Logistics Department, Vojvode Stepe 305, 11000 Belgrade, Serbia
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Ge Y, Xiao M, Yang Z, Zhang L, Hu Z, Feng D. An integrated logarithmic fuzzy preference programming based methodology for optimum maintenance strategies selection. Appl Soft Comput 2017. [DOI: 10.1016/j.asoc.2017.07.021] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Study on a Quality Evaluation Method for College English Classroom Teaching. FUTURE INTERNET 2017. [DOI: 10.3390/fi9030041] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Tian J, Chen M. Assessing the economics of processing end-of-life vehicles through manual dismantling. WASTE MANAGEMENT (NEW YORK, N.Y.) 2016; 56:384-395. [PMID: 27499291 DOI: 10.1016/j.wasman.2016.07.046] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Revised: 07/02/2016] [Accepted: 07/31/2016] [Indexed: 06/06/2023]
Abstract
Most dismantling enterprises in a number of developing countries, such as China, usually adopt the "manual+mechanical" dismantling approach to process end-of-life vehicles. However, the automobile industry does not have a clear indicator to reasonably and effectively determine the manual dismantling degree for end-of-life vehicles. In this study, five different dismantling scenarios and an economic system for end-of-life vehicles were developed based on the actual situation of end-of-life vehicles. The fuzzy analytic hierarchy process was applied to set the weights of direct costs, indirect costs, and sales and to obtain an optimal manual dismantling scenario. Results showed that although the traditional method of "dismantling to the end" can guarantee the highest recycling rate, this method is not the best among all the scenarios. The profit gained in the optimal scenario is 100.6% higher than that in the traditional scenario. The optimal manual dismantling scenario showed that enterprises are required to select suitable parts to process through manual dismantling. Selecting suitable parts maximizes economic profit and improves dismantling speed.
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Affiliation(s)
- Jin Tian
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Ming Chen
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
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Nguyen HT, Md Dawal SZ, Nukman Y, P. Rifai A, Aoyama H. An Integrated MCDM Model for Conveyor Equipment Evaluation and Selection in an FMC Based on a Fuzzy AHP and Fuzzy ARAS in the Presence of Vagueness. PLoS One 2016; 11:e0153222. [PMID: 27070543 PMCID: PMC4829176 DOI: 10.1371/journal.pone.0153222] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 03/27/2016] [Indexed: 11/18/2022] Open
Abstract
The conveyor system plays a vital role in improving the performance of flexible manufacturing cells (FMCs). The conveyor selection problem involves the evaluation of a set of potential alternatives based on qualitative and quantitative criteria. This paper presents an integrated multi-criteria decision making (MCDM) model of a fuzzy AHP (analytic hierarchy process) and fuzzy ARAS (additive ratio assessment) for conveyor evaluation and selection. In this model, linguistic terms represented as triangular fuzzy numbers are used to quantify experts’ uncertain assessments of alternatives with respect to the criteria. The fuzzy set is then integrated into the AHP to determine the weights of the criteria. Finally, a fuzzy ARAS is used to calculate the weights of the alternatives. To demonstrate the effectiveness of the proposed model, a case study is performed of a practical example, and the results obtained demonstrate practical potential for the implementation of FMCs.
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Affiliation(s)
- Huu-Tho Nguyen
- Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
- * E-mail:
| | - Siti Zawiah Md Dawal
- Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
| | - Yusoff Nukman
- Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
| | - Achmad P. Rifai
- Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
| | - Hideki Aoyama
- School of Integrated Design Engineering, Keio University, Tokyo, Japan
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A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques. SUSTAINABILITY 2016. [DOI: 10.3390/su8030246] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Krejčí J. Additively reciprocal fuzzy pairwise comparison matrices and multiplicative fuzzy priorities. Soft comput 2015. [DOI: 10.1007/s00500-015-2000-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Nguyen AT, Nguyen LD, Le-Hoai L, Dang CN. Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process. INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT 2015. [DOI: 10.1016/j.ijproman.2015.02.007] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Dutta B, Guha D. Preference programming approach for solving intuitionistic fuzzy AHP. INT J COMPUT INT SYS 2015. [DOI: 10.1080/18756891.2015.1099904] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Jalao ER, Wu T, Shunk D. A stochastic AHP decision making methodology for imprecise preferences. Inf Sci (N Y) 2014. [DOI: 10.1016/j.ins.2014.02.077] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Kubler S, Voisin A, Derigent W, Thomas A, Rondeau É, Främling K. Group fuzzy AHP approach to embed relevant data on “communicating material”. COMPUT IND 2014. [DOI: 10.1016/j.compind.2014.01.018] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Fuzzy analytic hierarchy process and analytic network process: An integrated fuzzy logarithmic preference programming. Appl Soft Comput 2013. [DOI: 10.1016/j.asoc.2012.11.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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