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Demir AT, Moslem S. Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment. Heliyon 2024; 10:e26997. [PMID: 38486721 PMCID: PMC10937520 DOI: 10.1016/j.heliyon.2024.e26997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/09/2024] [Accepted: 02/22/2024] [Indexed: 03/17/2024] Open
Abstract
The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading to a notable increase in medical waste generation. Consequently, extensive research has focused on sustainable disposal methods to handle used medical equipment safely. Given the necessity to evaluate these methods considering qualitative and quantitative criteria, this falls within the realm of multi-criteria decision-making (MCDM). This study introduces a framework for selecting the most suitable medical waste treatment methods, taking into account economic, technological, environmental, and social aspects. Sixteen criteria were assessed using the Fuzzy Preference Selection Index (F-PSI) to determine the optimal waste disposal approach. Additionally, the Fuzzy Compromise Ranking of Alternatives from Distance to Ideal Solution (F-CRADIS) method was employed to evaluate nine technologies for medical waste disposal. Notably, disinfection efficiency emerged as the most crucial criterion, with autoclaving identified as the preferred method for medical waste treatment. A practical case study conducted in Sivas, Turkey, validates the feasibility of these strategies. Multiple sensitivity analyses were performed to ensure the stability and reliability of the proposed approach.
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Affiliation(s)
- Ahmet Turan Demir
- Department of Biomaterials and Tissue Engineering, Institute of Graduate Studies, Tokat Gaziosmanpaşa University, 60250, Tokat, Turkey
| | - Sarbast Moslem
- School of Architecture Planning and Environmental Policy, University College Dublin, Belfield, Dublin 15, D04 V1W8, Ireland
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2
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Puška A, Štilić A, Pamucar D, Simic V, Petrović N. Optimal selection of healthcare waste treatment devices using fuzzy-rough approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024:10.1007/s11356-024-32630-5. [PMID: 38430441 DOI: 10.1007/s11356-024-32630-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/20/2024] [Indexed: 03/03/2024]
Abstract
The escalating volume of healthcare waste (HCW) generated by healthcare facilities poses a pressing challenge for all nations. Adequate management and disposal of this waste are imperative to mitigate its adverse impact on human lives, wildlife, and the environment. Addressing this issue in Bosnia and Herzegovina involves the establishment of a regional center dedicated to HCW management. In practice, there are various treatments available for HCW management. Therefore, it is necessary to determine the priority for procuring different treatments during the formation of this center. To assess these treatment devices, expert decision-making employed the fuzzy-rough approach. By leveraging extended sustainability criteria, experts initially evaluated the significance of these criteria and subsequently assessed the devices for HCW treatment. Employing the fuzzy-rough LMAW (Logarithm Methodology of Additive Weights), the study determined the importance of criteria, highlighting "Air emissions" and "Annual usage costs" as the most critical factors. Utilizing the fuzzy-rough CoCoSo (the Combined Compromise Solution) method, six devices employing incineration or sterilization for HCW treatment were ranked. The findings indicated that the "Rotary kiln" and "Steam disinfection" emerged as the most favorable devices for HCW treatment based on this research. This conclusion was validated through comparative and sensitivity analyses. This research contributes by proposing a solution to address Bosnia and Herzegovina's HCW challenge through the establishment of a regional center dedicated to HCW management.
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Affiliation(s)
- Adis Puška
- Department of Public Safety, Government of Brčko District, Brcko District, Bosnia and Herzegovina
| | - Anđelka Štilić
- Academy of Applied Studies Belgrade, College of Tourism, Bulevar Zorana Đinđića 152a, 11070, Belgrade, Serbia
| | - Dragan Pamucar
- Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia.
- College of Engineering, Yuan Ze University, Taoyuan City, Taiwan.
- Department of Computer Science and Mathematics, Lebanese American University, Byblos, Lebanon.
| | - Vladimir Simic
- Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11010, Belgrade, Serbia
- Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, 02841, Republic of Korea
| | - Nataša Petrović
- Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia
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3
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Hu X, Liu F. Research on the influencing factors and improvement paths of digital trade development in the Yangtze River Economic Belt--Based on entropy-weighting TOPSIS and fsQCA method. PLoS One 2023; 18:e0284519. [PMID: 37459314 PMCID: PMC10351719 DOI: 10.1371/journal.pone.0284519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 04/03/2023] [Indexed: 07/20/2023] Open
Abstract
While China's digital trade is developing rapidly, it is facing the problem of uncoordinated and uneven regional development. In order to explore countermeasures to bridge the differences in regional digital trade, this paper first measures the development level of digital trade in 11 provinces of the Yangtze River Economic Belt through entropy-weighting TOPSIS. Secondly, the fuzzy set Qualitative Comparative Analysis method was used to analyze the influencing factors and improvement paths of digital trade development in various provinces of the Yangtze River Economic Belt. The research results show that: first, the current development level of digital trade is gradually weakening from east to west, especially the development of digital trade in the Yangtze River Delta region is the best, showing a large regional imbalance and uncoordinated development. What's more, the market size and urbanization have the most significant impact on the development of digital trade. Finally, we examine the reliability of the results by sensitivity analysis, and find that our ranking results are robust. In the future, China should continue to actively promote the coordinated development strategy of regional economy and participate in international digital trade exchanges and cooperation, so as to promote the coordinated and high-quality development of digital trade.
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Affiliation(s)
- Xiaomei Hu
- School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, Anhui Province, China
| | - Fan Liu
- School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, Anhui Province, China
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4
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Puška A, Lukić M, Božanić D, Nedeljković M, Hezam IM. Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making. ENTROPY (BASEL, SWITZERLAND) 2023; 25:959. [PMID: 37372302 DOI: 10.3390/e25060959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/16/2023] [Accepted: 06/18/2023] [Indexed: 06/29/2023]
Abstract
Crop insurance is used to reduce risk in agriculture. This research is focused on selecting an insurance company that provides the best policy conditions for crop insurance. A total of five insurance companies that provide crop insurance services in the Republic of Serbia were selected. To choose the insurance company that provides the best policy conditions for farmers, expert opinions were solicited. In addition, fuzzy methods were used to assess the weights of the various criteria and to evaluate insurance companies. The weight of each criterion was determined using a combined approach based on fuzzy LMAW (the logarithm methodology of additive weights) and entropy methods. Fuzzy LMAW was used to determine the weights subjectively through expert ratings, while fuzzy entropy was used to determine the weights objectively. The results of these methods showed that the price criterion received the highest weight. The selection of the insurance company was made using the fuzzy CRADIS (compromise ranking of alternatives, from distance to ideal solution) method. The results of this method showed that the insurance company DDOR offers the best conditions for crop insurance for farmers. These results were confirmed by a validation of the results and sensitivity analysis. Based on all of this, it was shown that fuzzy methods can be used in the selection of insurance companies.
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Affiliation(s)
- Adis Puška
- Government of Brčko District of Bosnia and Herzegovina, Department of Public Safety, Bulevara Mira 1, 76100 Brčko, Bosnia and Herzegovina
| | - Marija Lukić
- Faculty of Business Economics and Entrepreneurship, Economics, Finance and Banking, Mitropolita Petra 8, 11000 Belgrade, Serbia
| | - Darko Božanić
- Military Academy, University of Defence in Belgrade, Veljka Lukica Kurjaka 33, 11000 Belgrade, Serbia
| | | | - Ibrahim M Hezam
- Statistics & Operations Research Department, College of Sciences, King Saud University, Riyadh 11451, Saudi Arabia
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5
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Pamučar D, Puška A, Simić V, Stojanović I, Deveci M. Selection of healthcare waste management treatment using fuzzy rough numbers and Aczel-Alsina Function. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023; 121:106025. [PMID: 36908983 PMCID: PMC9985309 DOI: 10.1016/j.engappai.2023.106025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 01/04/2023] [Accepted: 02/18/2023] [Indexed: 06/18/2023]
Abstract
The COVID-19 pandemic led to an increase in healthcare waste (HCW). HCW management treatment needs to be re-taken into focus to deal with this challenge. In practice, there are several treatments of HCW with their advantages and disadvantages. This study is conducted to select the appropriate treatment for HCW in the Brčko District of Bosnia and Herzegovina. Six HCW management treatments are analyzed and observed through twelve criteria. Ten-level linguistic values were used to bring this evaluation closer to human thinking. A fuzzy rough approach is used to solve the problem of inaccuracy in determining these values. The OPA method from the Bonferroni operator is used to determine the weights of the criteria. The results of the application of this method showed that the criterion Environmental Impact ( C 4 ) received the highest weight, while the criterion Automation Level ( C 8 ) received the lowest value. The ranking of HCW management treatments was performed using MARCOS methods based on the Aczel-Alsina function. The results of this analysis showed that the best-ranked HCW management treatment is microwave (A6) while landfill treatment (A5) is ranked worst. This study has provided a new approach based on fuzzy rough numbers where the Bonferroni function is used to determine the lower and upper limits, while the application of the Aczel-Alsina function reduced the influence of decision-makers on the final decision because this function stabilizes the decision-making process.
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Affiliation(s)
- Dragan Pamučar
- Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, 11000, Belgrade, Serbia
- College of Engineering, Yuan Ze University, Taiwan
| | - Adis Puška
- Government of Brčko District, Department of Public Safety, Bosnia and Herzegovina
| | - Vladimir Simić
- University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia
| | - Ilija Stojanović
- American University in the Emirates, Dubai International Academic City, Block 6 & 7, P.O. Box: 503000, United Arab Emirates
| | - Muhammet Deveci
- Turkish Naval Academy, National Defence University, Department of Industrial Engineering, 34940, Tuzla, Istanbul, Turkey
- The Bartlett School of Sustainable Construction, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
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6
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Al-Barakati A, Rani P. Assessment of healthcare waste treatment methods using an interval-valued intuitionistic fuzzy double normalization-based multiple aggregation approach. ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY 2023:1-28. [PMID: 37363024 PMCID: PMC10123018 DOI: 10.1007/s10668-023-03154-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 03/11/2023] [Indexed: 06/28/2023]
Abstract
Healthcare waste management has been an extensively attractive topic recently since it is one of the key concerns regarding both environment and public health, predominantly in developing nations. The optimization of the treatment procedure for healthcare waste is indeed a complex "multi-criteria decision-making (MCDM)" problem that involves contradictory and interweaved critical criteria. To successfully handle this issue, this study extends the original method, named the "double normalization-based multi-aggregation (DNMA)" approach, with "interval-valued intuitionistic fuzzy sets (IVIFSs)" for decision-making problems taking criteria in terms of benefit or cost types. This method involves two target-based normalizations and three subordinate utility models. To estimate the criteria weights, we propose a new parametric divergence measure and discuss the feasibility of the developed divergence measure based on existing divergence measures for IVIFSs. Further, the developed framework is implemented to elucidate the "healthcare waste treatment (HCWT)" problem. The comparative and sensitivity analyses of the outcomes indicate that the proposed approach efficiently tackles the problem of HCWT selection. The outcomes show that steam sterilization (0.462) is the optimal one for HCWT. The prioritization options, obtained by presented approach, are dependable and suitable, which are steam sterilization ≻ microwave ≻ incineration ≻ landfilling.
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Affiliation(s)
- Abdullah Al-Barakati
- Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Pratibha Rani
- Department of Mathematics, Rajiv Gandhi National Institute of Youth Development, Sriperumbudur, Tamil Nadu 602105 India
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7
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Liu A, Li Z, Shang WL, Ochieng W. Performance evaluation model of transportation infrastructure: Perspective of COVID-19. TRANSPORTATION RESEARCH. PART A, POLICY AND PRACTICE 2023; 170:103605. [PMID: 36811033 PMCID: PMC9935300 DOI: 10.1016/j.tra.2023.103605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The transportation systems are facing major challenges due to changes social environment caused by the COVID-19 pandemic. How to construct a suitable evaluation criterion system and suitable assessment method to evaluate the status of the urban transportation resilience has become a predicament nowadays. Firstly, the criteria for evaluating the current state of transportation resilience involve many aspects. New features of transportation resilience under epidemic normalization are exposed, and previous summaries focusing on resilience characteristics under natural disasters can hardly reflect the current state of urban transportation resilience comprehensively. Based on this, this paper attempts to incorporate the new criteria (Dynamicity, Synergy, Policy) into the evaluation system. Secondly, the assessment of urban transportation resilience involves numerous indicators, which make it difficult to obtain quantitative figures for the criteria. With this background, a comprehensive multi-criteria assessment model based on q-rung orthopair 2-tuple linguistic sets is constructed to evaluate the status of transportation infrastructure from perspective on the COVID-19. Then, an example of urban transportation resilience is given to demonstrate the feasibility of the proposed approach. Subsequently, sensitivity analysis about parameters and global robust sensitivity analysis are conducted, and comparative analysis of existing method is given. The results reveal that the proposed method is sensitive to global criteria weights, so it is suggested that more attention should be paid to the rationality of the weight of criteria to avoid the influence on the results when solving MCDM problems. Finally, the policy implications regarding transport infrastructure resilience and appropriate model development are given.
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Affiliation(s)
- Aijun Liu
- Department of Management Engineering, School of Economics & Management, Xidian University, Xi'an 710071, China
| | - Zengxian Li
- Department of Management Engineering, School of Economics & Management, Xidian University, Xi'an 710071, China
| | - Wen-Long Shang
- Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China
- Centre for Transport Studies, Imperial College London, SW7 2AZ London, UK
| | - Washington Ochieng
- Centre for Transport Studies, Imperial College London, SW7 2AZ London, UK
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8
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Puška A, Božanić D, Mastilo Z, Pamučar D. Extension of MEREC-CRADIS methods with double normalization-case study selection of electric cars. Soft comput 2023. [DOI: 10.1007/s00500-023-08054-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
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9
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Evaluation of the Special Warehouse Handling Equipment (Turret Trucks) Using Integrated FUCOM and WASPAS Techniques Based on Intuitionistic Fuzzy Dombi Aggregation Operators. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2023. [DOI: 10.1007/s13369-023-07615-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
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10
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Bouraima MB, Tengecha NA, Stević Ž, Simić V, Qiu Y. An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system. ANNALS OF OPERATIONS RESEARCH 2023:1-32. [PMID: 36743351 PMCID: PMC9883613 DOI: 10.1007/s10479-023-05183-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 01/12/2023] [Indexed: 06/18/2023]
Abstract
The selection and prioritization of suitable strategies to address the challenges to the successful operation and implementation of the bus rapid transit (BRT) system is a common problem faced by practitioners and decision-makers. Recent research has widely discussed the issue, but such assessments have remained limited in the city of Dar es Salaam, Tanzania context, where there are mobility difficulties. The present study addresses this research gap and identifies the most critical challenges to BRT implementation and operation, and recommends the most appropriate strategy for overcoming them. Seven strategies are defined. To prioritize these strategies, five criteria are determined. An integrated multi-criteria decision-making model is introduced. Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis based on the Bonferroni operator was used to determine the importance of the criteria. Measurement of alternatives and ranking according to compromise solution was applied to assess and rank the strategies. The results indicate that "frequent flooding at the Jangwani bridge bus terminal" and "long waiting time at bus stops" are the most critical challenges while the fourth alternative "strengthening the operation and management" is the appropriate strategy to be implemented for successful operation and implementation of the BRT system. After that, a five-phase sensitivity analysis is performed to observe the robustness of the proposed approach. The results indicate the flexibility and applicability of the proposed approach can address real-life problems. The proposed methodology in this work can be instrumental in assisting mass transit operators with the successful implementation and operation of the BRT system.
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Affiliation(s)
- Mouhamed Bayane Bouraima
- School of Civil Engineering, Southwest Jiaotong University, Chengdu, 610031 Sichuan China
- Highway Engineering Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, 610031 Sichuan China
- Organization of African Academic Doctors (OAAD), P.O Box 14833-00100, Langata, Nairobi, Kenya
| | | | - Željko Stević
- Faculty of Transport and Traffic Engineering, University of East Sarajevo, Doboj, Bosnia and Herzegovina
| | - Vladimir Simić
- Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11010 Belgrade, Serbia
| | - Yanjun Qiu
- School of Civil Engineering, Southwest Jiaotong University, Chengdu, 610031 Sichuan China
- Highway Engineering Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, 610031 Sichuan China
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Baydaş M, Eren T, Stević Ž, Starčević V, Parlakkaya R. Proposal for an objective binary benchmarking framework that validates each other for comparing MCDM methods through data analytics. PeerJ Comput Sci 2023; 9:e1350. [PMID: 37153010 PMCID: PMC10159627 DOI: 10.7717/peerj-cs.1350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 03/28/2023] [Indexed: 05/09/2023]
Abstract
When it comes to choosing the best option among multiple alternatives with criteria of different importance, it makes sense to use multi criteria decision making (MCDM) methods with more than 200 variations. However, because the algorithms of MCDM methods are different, they do not always produce the same best option or the same hierarchical ranking. At this point, it is important how and according to which MCDM methods will be compared, and the lack of an objective evaluation framework still continues. The mathematical robustness of the computational procedures, which are the inputs of MCDM methods, is of course important. But their output dimensions, such as their capacity to generate well-established real-life relationships and rank reversal (RR) performance, must also be taken into account. In this study, we propose for the first time two criteria that confirm each other. For this purpose, the financial performance (FP) of 140 listed manufacturing companies was calculated using nine different MCDM methods integrated with step-wise weight assessment ratio analysis (SWARA). İn the next stage, the statistical relationship between the MCDM-based FP final results and the simultaneous stock returns of the same companies in the stock market was compared. Finally, for the first time, the RR performance of MCDM methods was revealed with a statistical procedure proposed in this study. According to the findings obtained entirely through data analytics, Faire Un Choix Adéquat (FUCA) and (which is a fairly new method) the compromise ranking of alternatives from distance to ideal solution (CRADIS) were determined as the most appropriate methods by the joint agreement of both criteria.
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Affiliation(s)
- Mahmut Baydaş
- Faculty of Applied Sciences, Necmettin Erbakan University, Konya, Turkey
| | - Tevfik Eren
- Faculty of Applied Sciences, Necmettin Erbakan University, Konya, Turkey
| | - Željko Stević
- Faculty of Transport and Traffic Engineering, University of East Sarajevo, Doboj, Bosnia and Herzegovina
| | - Vitomir Starčević
- Faculty of Business Economics, University of East Sarajevo, Bijeljina, Bosnia and Herzegovina
| | - Raif Parlakkaya
- Faculty of Political Sciences, Necmettin Erbakan University, Konya, Turkey
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Everest T, Savaşkan GS, Or A, Özcan H. Suitable site selection by using full consistency method (FUCOM): a case study for maize cultivation in northwest Turkey. ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY 2022; 26:1-20. [PMID: 36506642 PMCID: PMC9718473 DOI: 10.1007/s10668-022-02787-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 11/17/2022] [Indexed: 05/25/2023]
Abstract
The agricultural land evaluation procedure is a valuable guide for growing plants where they are best suitable, and it has a critical role in actualizing sustainable plans for providing food security for the growing population. In agricultural land suitability analysis, different multi-criteria decision-making methods are applied. The main objective of this study is to introduce the potential usage of a new multi-criteria decision-making method the Full Consistency Method (FUCOM) in agricultural land suitability analysis. The study was carried out in the northern part of the Karamenderes plain in NW Turkey. Nine land characteristics (soil texture, soil depth, organic matter content, electrical conductivity, pH, slope, drainage, CaCO3%, and cation exchange capacity) were used for the land evaluation study. The weighting values of the land characteristics were calculated by the FUCOM. According to the results, 223 ha (6.26%) were highly suitable, 2650 ha (74.40%) were moderately suitable, 508 ha (14.26%) were marginally suitable, and 181 ha (5.08%) were not suitable for maize cultivation. The weighted values of the parameters were also tested with Analytic Hierarchy Process (AHP) and the Best-Worst Method (BWM). There is a general compatibility between the methodologies. The data obtained from these methods showed that analysis consists of a very positive relationship with each other. The comparisons of these methodologies showed that FUCOM's prioritization order simplicity in parameter weighting and ability to reduce the processing intensity would provide a significant contribution and advantage to the land evaluation experts and planners. It is recommended that the Full Consistent Method could be reliably used in agricultural land suitability analysis.
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Affiliation(s)
- Timuçin Everest
- Lapseki Vocational School, Çanakkale Onsekiz Mart University, 17800 Çanakkale, Turkey
| | - Gönül Selin Savaşkan
- Department of Economics, Faculty of Political Science, Çanakkale Onsekiz Mart University, 17020 Çanakkale, Turkey
| | - Aykut Or
- Department of Mathematics, Faculty of Science, Çanakkale Onsekiz Mart University, 17020 Çanakkale, Turkey
| | - Hasan Özcan
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Çanakkale Onsekiz Mart University, 17020 Çanakkale, Turkey
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Evaluation of Agricultural Machinery Using Multi-Criteria Analysis Methods. SUSTAINABILITY 2022. [DOI: 10.3390/su14148675] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
To achieve the highest possible agricultural production, it is necessary to procure the appropriate agricultural machinery. A tractor is the most useful machine in agriculture that performs various functions. Therefore, the selection of a tractor is one of the key decisions in the agriculture-production process. This study aims to evaluate heavy tractors for agricultural production in Bosnia and Herzegovina. Since this is a selection between different tractors, which are evaluated using several criteria, the methods of multi-criteria analysis (MCDA) were used in this study. Five different methods were used to determine the weight of the criteria, of which a modified standard-deviation method is a new method used in practice, while the tractor ranking was performed using the CRADIS (compromise ranking of alternatives from distance to ideal solution) method. The results showed that the best-ranked tractor is A4, while the most deviations from the ranking occur when the entropy method is used. The contribution of this study is in the systematization of the methods for the objective determination of the criteria weights and the development of new methods to facilitate decision-making in agriculture and other industries.
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Objective Criticism and Negative Conclusions on Using the Fuzzy SWARA Method in Multi-Criteria Decision Making. MATHEMATICS 2022. [DOI: 10.3390/math10040635] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The quality of output or decision-making depends on high-quality input data, their adequate evaluation, the application of adequate approaches, and accurate calculation. In this paper, an objective criticism of applying the fuzzy SWARA (step-wise weight assessment ratio analysis) method based on the Chang TFN (triangular fuzzy number) scale is performed. Through research, it has been noticed that a large number of studies use this approach and, as an epilogue, there are wrong decisions based on inconsistent values in relation to the initial assessment of decision-makers (DMs). Seven representative studies (logistics, construction industry, financial performance management, and supply chain) with different parameter structures and decision matrix sizes have been singled out. The main hypothesis has been set, which implies that the application of this approach leads to wrong decisions because the weight values of the criteria are incorrect. A comparative analysis with the improved fuzzy SWARA (IMF SWARA) method has been created and a number of negative conclusions has been reached on using the fuzzy SWARA method and the Chang scale: Primarily, that using such an approach is impossible for two or more criteria to have equal value, that allocating TFN (1,1,1) leads to criteria values that are inconsistent with expert evaluation, that the last-ranked criteria in the fuzzy SWARA method have no influential value on the ranking of alternatives, that there is a great gap between the most significant and last-ranked criteria, and that the most significant criterion has a huge impact on the evaluation of alternative solutions and decision making. As a general conclusion, it is given that this approach is not adequate for application in problems of multi-criteria decision making because it produces inadequate management of processes and activities in various spheres.
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