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Huang S, Chen H. Research on quality evaluation of industry-education integration for rural vocational education in the perspective of rural revitalization with PL-MACONT method. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023. [DOI: 10.3233/jifs-223856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
As one of the teaching models that promote the orderly development of vocational education in China, the integration of industry and education has been recognized by all sectors of society in China’s many years of practice. In recent years, with the strong advocacy of the education sector in China, its development speed has been rapidly improved. Rural vocational education in China has also actively implemented and innovated the teaching mode of integration of industry and education, which has trained more excellent talents for agricultural development in various regions. The quality evaluation of industry-education integration for rural vocational education in the perspective of rural revitalization is viewed as the multiple attribute group decision making (MAGDM). In this paper, the probabilistic linguistic Mixed Aggregation by Comprehensive Normalization Technique (PL-MACONT) method is built for MAGDM. At last, to verify the validity of the extended method, a numerical example to further account for quality evaluation of industry-education integration for rural vocational education in the perspective of rural revitalization is put into use.
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Liu P, Geng X. Evaluation model of green supplier selection for coal enterprises with similarity measures of double-valued neutrosophic sets based on cosine function. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023. [DOI: 10.3233/jifs-224123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Coal is a vital basic energy source for any economy in the world, and our country is no exception. Our coal resources are abundant, with high production and demand, not comparable to oil and natural gas. The coal supply chain plays an equally important role in economic production, but unfortunately, the current coal supply chain is not focused on greening while creating profits. Unfortunately, the current coal supply chain does not focus on green production and energy conservation and emission reduction while creating profits, which has caused irreversible harm and loss to resources and environment. This has caused irreversible damage and loss to resources and the environment. The green supplier selection for coal enterprises is affirmed as multiple attribute decision making (MADM). In such paper, motivated by the idea of cosine similarity measure (CSM), the CSMs are extended to DVNSs and four CSMs are created under DVNSs. Then, two weighted CSMs are built for MADM under DVNSs. Finally, a numerical example for Green supplier selection for coal enterprises is affirmed and some comparative algorithms are produced to affirm the built method.
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Affiliation(s)
- Peng Liu
- North China University of Science and Technology, Tangshan, Hebei, China
- University of Perpetual Help System Dalta, Alabang-Zapote Road, Pamplona 3, Las Piñas City, Las Piñas Campus, Republic of the Philippines
| | - Xiaonan Geng
- North China University of Science and Technology, Tangshan, Hebei, China
- University of Perpetual Help System Dalta, Alabang-Zapote Road, Pamplona 3, Las Piñas City, Las Piñas Campus, Republic of the Philippines
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He SF, Wang YM, Pan X, Chin KS. A novel behavioral three-way decision model with application to the treatment of mild symptoms of COVID-19. Appl Soft Comput 2022; 124:109055. [PMID: 35637858 PMCID: PMC9132434 DOI: 10.1016/j.asoc.2022.109055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 04/19/2022] [Accepted: 05/16/2022] [Indexed: 11/18/2022]
Abstract
The Coronavirus Disease 2019 (COVID-19) has popularized since late December 2019. In present, it is still highly transmissible and has severe impact on the public health and global economy. Due to the lack of specific drug and the appearance of different variants, the selection of the antiviral therapy to treat the patients with mild symptom is of vital importance. Hence, in this paper, we propose a novel behavioral Three-Way Decision (3WD) model and apply it to the medicine selection decision. First, a new relative utility function is constructed by considering the risk-aversion behavior and regret-aversion behavior of human beings. Second, based on the relative utility function, some new rules are defined to calculate the thresholds and conditional probabilities in 3WD and some corresponding theorems are explored and proved. Next, a new information fusion mechanism in the framework of evidential reasoning algorithm is developed. Then, the decision results are obtained based on the Bayesian decision procedure and the principle of maximum utility. Finally, an example with large-scale data set and an example about medicine selection for COVID-19 are provided to show the implementation process and effectiveness of the proposed method. Comparative analysis and sensitivity analysis are also performed to illustrate the superiority and the robustness of the current proposal.
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Affiliation(s)
- Shi-Fan He
- Decision Sciences Institute, Fuzhou University, Fujian, 350108, China
- Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong
| | - Ying-Ming Wang
- Decision Sciences Institute, Fuzhou University, Fujian, 350108, China
| | - Xiaohong Pan
- Decision Sciences Institute, Fuzhou University, Fujian, 350108, China
- Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong
| | - Kwai-Sang Chin
- Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong
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Zhu J, Ma X, Zhan J, Yao Y. A three-way multi-attribute decision making method based on regret theory and its application to medical data in fuzzy environments. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.108975] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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5
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Zhang N, Pan Q, Wei G. Application of catastrophe progression method on hybrid multiple attribute decision-making problems based on regret theory. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-210515] [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
In order to effectively solve the decision-making problems with the diversity of evaluation information, the dynamics of research objects, the limitations of subjective authorization, and the irrational behavior of decision-makers, this paper extends catastrophe progression method to solve hybrid multiple attribute decision-making problems based on regret theory. Firstly, some basic theories are introduced. Secondly, the original catastrophe progression method is extended by using the regret theory, which is employed to solve the multiple attribute decision-making problems with hybrid evaluation information. Finally, a real-life case study of selecting a fresh cold chain logistics service provider is used to verify the practicality and effectiveness of the proposed method, and a comparative analysis with the TOPSIS method and the sensitivity of the regret avoidance coefficient is analyzed in this article.
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Affiliation(s)
- Nian Zhang
- School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China
| | - Qian Pan
- School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China
| | - Guiwu Wei
- School of Business, Sichuan Normal University, Chengdu, People’s Republic of China
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Liu Z, Wang D, Wang W, Liu P. An integrated group decision‐making framework for selecting cloud service providers based on regret theory and EVAMIX with hybrid information. INT J INTELL SYST 2021. [DOI: 10.1002/int.22698] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Zhengmin Liu
- School of Management Science and Engineering Shandong University of Finance and Economics Jinan China
| | - Di Wang
- School of Management Science and Engineering Shandong University of Finance and Economics Jinan China
| | - Wenxin Wang
- School of Management Science and Engineering Shandong University of Finance and Economics Jinan China
| | - Peide Liu
- School of Management Science and Engineering Shandong University of Finance and Economics Jinan China
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Jin F, Liu J, Zhou L, Martínez L. Consensus-Based Linguistic Distribution Large-Scale Group Decision Making Using Statistical Inference and Regret Theory. GROUP DECISION AND NEGOTIATION 2021; 30:813-845. [PMID: 33967394 PMCID: PMC8097260 DOI: 10.1007/s10726-021-09736-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/05/2021] [Indexed: 06/12/2023]
Abstract
Large-scale group decision-making (LSGDM) deals with complex decision- making problems which involve a large number of decision makers (DMs). Such a complex scenario leads to uncertain contexts in which DMs elicit their knowledge using linguistic information that can be modelled using different representations. However, current processes for solving LSGDM problems commonly neglect a key concept in many real-world decision-making problems, such as DMs' regret aversion psychological behavior. Therefore, this paper introduces a novel consensus based linguistic distribution LSGDM (CLDLSGDM) approach based on a statistical inference principle that considers DMs' regret aversion psychological characteristics using regret theory and which aims at obtaining agreed solutions. Specifically, the CLDLSGDM approach applies the statistical inference principle to the consensual information obtained in the consensus process, in order to derive the weights of DMs and attributes using the consensus matrix and adjusted decision-making matrices to solve the decision-making problem. Afterwards, by using regret theory, the comprehensive perceived utility values of alternatives are derived and their ranking determined. Finally, a performance evaluation of public hospitals in China is given as an example in order to illustrate the implementation of the designed method. The stability and advantages of the designed method are analyzed by a sensitivity and a comparative analysis.
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Affiliation(s)
- Feifei Jin
- School of Business, Anhui University, Hefei, 230601 Anhui China
| | - Jinpei Liu
- School of Business, Anhui University, Hefei, 230601 Anhui China
| | - Ligang Zhou
- School of Mathematical Sciences, Anhui University, Hefei, 230601 Anhui China
| | - Luis Martínez
- Department of Computer Science, University of Jaén, 23071 Jaén, Spain
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A Stochastic Multi-Attribute Method for Measuring Sustainability Performance of a Supplier Based on a Triple Bottom Line Approach in a Dual Hesitant Fuzzy Linguistic Environment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17062138. [PMID: 32210146 PMCID: PMC7142858 DOI: 10.3390/ijerph17062138] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 03/15/2020] [Accepted: 03/19/2020] [Indexed: 11/16/2022]
Abstract
China is a developing country and with the speeding up of its industrialization, the environmental problems are becoming more serious, environmental pollution is a major environmental health problem in China. In order to have a more effective management and control of the significant growth issues of environment pollution, green supply chain incentives have started, which is kind of market incentive aiming to moderate the adverse effects of environmental pollution. Proper green chain supply selection and evaluation of companies is becoming very essential in sustainable green supply chain management. Generally speaking, decision-makers (DMs) prefer to provide a set of feasible and quantitative information for making performance evaluation, which motivates us to propose a framework using dual hesitant fuzzy linguistic term set (DHFLTS) and hesitant fuzzy linguistic term set (HFLTS) to select green suppliers. In this paper, group satisfaction and the regret theory are adopted for elicitation of preference information. The DHFLTS and HFLTS provide qualitative preferences of the DMs as well as reflect their hesitancy, inconsistency, and vagueness. Further, two new group satisfaction degrees are defined called the group satisfaction of hesitant fuzzy linguistic term set and dual hesitant fuzzy linguistic term set. Some properties of group satisfaction with DHFLST and HFL are also discussed. Unknown attribute weights are obtained to construct a novel Lagrange function optimization model to maximize the group satisfaction degree, which is an extension of general group satisfaction degree. A novel methodological approach based on two group satisfaction degrees framework and regret theory is developed to rank and select green chain suppliers focusing on specific selection objectives. The proposed model and method of this paper allow the DM to execute different fuzzy scenarios by changing importance weights attached to the triple-bottom-line areas. In the final part, the advantage of the proposed group satisfaction degree under DHFL and HFL background over the existing group satisfaction degree using examples have been presented with different computational combinations.
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Celik E, Gul M, Yucesan M, Mete S. Stochastic multi-criteria decision-making: an overview to methods and applications. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2019. [DOI: 10.1186/s43088-019-0005-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Jahan A, Zavadskas EK. ELECTRE-IDAT for design decision-making problems with interval data and target-based criteria. Soft comput 2018. [DOI: 10.1007/s00500-018-3501-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Wang Y, Wang JQ, Wang TL. Fuzzy stochastic multi-criteria decision-making methods with interval neutrosophic probability based on regret theory. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2018. [DOI: 10.3233/jifs-17622] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Yi Wang
- School of Business, Central South University, Changsha, PR China
| | - Jian-Qiang Wang
- School of Business, Central South University, Changsha, PR China
| | - Tie-Li Wang
- Management School, University of South China, Hengyang, PR China
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Manna S, Basu TM, Mondal SK. Trapezoidal interval type-2 fuzzy soft stochastic set and its application in stochastic multi-criteria decision-making. GRANULAR COMPUTING 2018. [DOI: 10.1007/s41066-018-0119-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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13
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Sun H, Dang Y, Mao W. A Decision-Making Method with Grey Multi-Source Heterogeneous Data and Its Application in Green Supplier Selection. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E446. [PMID: 29510521 PMCID: PMC5876991 DOI: 10.3390/ijerph15030446] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 02/27/2018] [Accepted: 02/27/2018] [Indexed: 11/23/2022]
Abstract
In view of the multi-attribute decision-making problem that the attribute values are grey multi-source heterogeneous data, a decision-making method based on kernel and greyness degree is proposed. The definitions of kernel and greyness degree of an extended grey number in a grey multi-source heterogeneous data sequence are given. On this basis, we construct the kernel vector and greyness degree vector of the sequence to whiten the multi-source heterogeneous information, then a grey relational bi-directional projection ranking method is presented. Considering the multi-attribute multi-level decision structure and the causalities between attributes in decision-making problem, the HG-DEMATEL method is proposed to determine the hierarchical attribute weights. A green supplier selection example is provided to demonstrate the rationality and validity of the proposed method.
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Affiliation(s)
- Huifang Sun
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
| | - Yaoguo Dang
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
| | - Wenxin Mao
- School of Economics and Management, Southeast University, Nanjing 211189, China.
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Multiple Attribute Decision-Making Methods Based on Normal Intuitionistic Fuzzy Interaction Aggregation Operators. Symmetry (Basel) 2017. [DOI: 10.3390/sym9110261] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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15
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Xu C. Improvement of the distance between intuitionistic fuzzy sets and its applications. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017. [DOI: 10.3233/jifs-17276] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Changlin Xu
- School of Mathematics and Information Science, Beifang University of Nationalities, Yinchuan, China
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17
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Zhang XY, Wang JQ. Consensus-based framework to MCGDM under multi-granular uncertain linguistic environment. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017. [DOI: 10.3233/jifs-17202] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Xue-Yang Zhang
- School of Business, Central South University, Changsha, PR China
| | - Jian-Qiang Wang
- School of Business, Central South University, Changsha, PR China
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Cao YX, Zhou H, Wang JQ. An approach to interval-valued intuitionistic stochastic multi-criteria decision-making using set pair analysis. INT J MACH LEARN CYB 2016. [DOI: 10.1007/s13042-016-0589-9] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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An Extended Outranking Approach to Rough Stochastic Multi-criteria Decision-Making Problems. Cognit Comput 2016. [DOI: 10.1007/s12559-016-9417-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ji P, Zhang HY, Wang JQ. A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Comput Appl 2016. [DOI: 10.1007/s00521-016-2436-z] [Citation(s) in RCA: 130] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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A Likelihood-Based Qualitative Flexible Approach with Hesitant Fuzzy Linguistic Information. Cognit Comput 2016. [DOI: 10.1007/s12559-016-9400-1] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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