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Liu Y, Chu J, Wang Y, Wang Y. A maximizing dominance degree model based on trust relationships and TODIM method to reach group consensus. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-211979] [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
To obtain the suitable alternative(s) for the organization, this paper proposes a more practical method to solve the decision-making problems in society. That is combined with the TODIM (TOmada de decisão interativa multicrit e ´ rio). The maximizing dominance degree model to reach consensus is proposed with two following components: (1) constructing the complete trust relationships network; (2) the maximizing dominance degree feedback mechanism to reach group consensus. Therefore, firstly owing to the complexity of the trust relationships network, judging the direct and indirect trust propagation paths among the decision makers (DMs) to construct the complete trust relationships network and identifying the highest value of Trust Score (TS) as the leader is possible. Then identify the inconsistent DM based on the established consensus index. During the feedback process, inconsistent DMs adopt the feedback mechanism based on the dominance degree of the leader until the group consensus is reached. Later, the corresponding ranking result is calculated by the TODIM method. Finally, a numerical example is applied to illustrate the effectiveness and feasibility of the optimal model.
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Affiliation(s)
- Yicong Liu
- College of Economics and Management, Fuzhou University, Fuzhou, China
| | - Junfeng Chu
- College of Economics and Management, Fuzhou University, Fuzhou, China
- Decision Sciences Institute, Fuzhou University, Fuzhou, China
| | - Yanyan Wang
- College of Public Management, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yingming Wang
- College of Economics and Management, Fuzhou University, Fuzhou, China
- Decision Sciences Institute, Fuzhou University, Fuzhou, China
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Wu A, Li H, Dong M. A novel two-stage method for matching the technology suppliers and demanders based on prospect theory and evidence theory under intuitionistic fuzzy environment. Appl Soft Comput 2020. [DOI: 10.1016/j.asoc.2020.106553] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Zeng XT, Yu GF, Wu J. A new approach for hybrid multi-attribute variable weight decision making with decision maker’s behavioral character. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019. [DOI: 10.3233/jifs-182539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Xiang-Tian Zeng
- School of Economics and Management, Sanming University, Sanming, Fujian, China
| | - Gao-Feng Yu
- School of Information Engineering, Sanming University, Sanming, Fujian, China
| | - Jian Wu
- School of Economics and Management, Sanming University, Sanming, Fujian, China
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Lin R. Model for multiple attribute decision making with hesitant fuzzy information and their application. INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS 2019. [DOI: 10.3233/kes-190410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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A Heterogeneous MCDM Framework for Sustainable Supplier Evaluation and Selection Based on the IVIF-TODIM Method. SUSTAINABILITY 2019. [DOI: 10.3390/su11185057] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The third-party platform named ECO system is used by many transnational companies to monitor the sustainability performance of their global suppliers because of its easiness and shareability. Nonetheless, methods used in this platform for evaluating and calculating the sustainability performance of the alternative suppliers are criticized for their lack of accuracy. In response to these problems, this paper presents a heterogeneous multi-criteria decision-making (MCDM) method based on interval-valued intuitionistic fuzzy--an acronym in Portuguese for interactive multi-criteria decision making (IVIF--TODIM) to improve the efficiency of the evaluation model. Considering the varying features of evaluation criteria, i.e., either quantitative or qualitative, the evaluation values under different criteria are expressed in their appropriate information types. In this paper, a general method based on the relative closeness to the technique for order preference by similarity to ideal solution (TOPSIS) method is applied for aggregating the heterogeneous assessment information, including crisp numbers, interval numbers, and triangular fuzzy numbers (TFNs), into interval-valued intuitionistic fuzzy numbers (IVIFNs). Then, the TODIM (an acronym in Portuguese for interactive multi-criteria decision making) is extended and employed to prioritize the alternative suppliers. Finally, the applicability and effectiveness of the proposed method is verified by a practical example of polymer manufacturing company and a comparison analysis with existing methods.
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Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model. SUSTAINABILITY 2019. [DOI: 10.3390/su11061754] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
With the deepening reform of the power market, the external environment of China’s power industry is going through a huge change. China’s traditional power generation groups (TPGGs), with assets all over the country, are, due to a lack of market awareness about energy policies, facing serious challenges in developing competitive advantages, improving power transaction modes, optimizing profit models, and even realizing basic corporate strategies. In this study, we focus on identifying the key factors influencing sustainable development in an unprecedented market environment for TPGGs, so as to achieve overall sustainable development for the whole power generation sector in China. A hybrid framework based on Multiple-Criteria Decision-Making (MCDM) was proposed to recognize the key influencing factors under vague rule conditions. We developed a novel method combining three different MCDM methods with triangular fuzzy numbers (TFNs), fuzzy Delphi, fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Analytic Network Process (ANP), to cover uncertainty and make the problem-solving approach closer to the actual problem. A series of analyses indicate that the final 14 factors covering the five dimensions are considered to be important factors in the sustainable development of TPGGs. Based on the results, it can be said that “Gross energy margin” and “Pricing bidding strategy” dominate the impacts of TPGG’s sustainable development. Finally, we give some advice relating to practical measures to help TPGGs achieve sustainable development in the market-oriented industry environment.
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Fahmi A, Abdullah S, Amin F, Aslam M, Hussain S. Trapezoidal Linguistic Cubic Fuzzy TOPSIS Method and Application in a Group Decision Making Program. JOURNAL OF INTELLIGENT SYSTEMS 2019. [DOI: 10.1515/jisys-2017-0560] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzzy number and Hamming distance. Furthermore, we define and use the trapezoidal linguistic cubic fuzzy TOPSIS method to solve the multi criteria decision making (MCDM) method. The new ranking method for trapezoidal linguistic cubic fuzzy numbers (TrLCFNs) are used to rank the alternatives. Finally, an illustrative example is given to verify and prove the practicality and effectiveness of the proposed method.
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Affiliation(s)
- Aliya Fahmi
- Department of Mathematics, Hazara University, Mansehra, Khyber Pakhtunkhwa, Pakistan, e-mail:
| | - Saleem Abdullah
- Department of Mathematics, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan
| | - Fazli Amin
- Department of Mathematics, Hazara University, Mansehra, Khyber Pakhtunkhwa, Pakistan
| | - Muhammad Aslam
- Department of Mathematics, College of Sciences, King Khalid University, Abha, Saudi Arabia
| | - Shah Hussain
- Department of Mathematics, University of Hail, P.O. Box 2440, Hail, Saudi Arabia
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Wan SP, Qin YL, Dong JY. A hesitant fuzzy mathematical programming method for hybrid multi-criteria group decision making with hesitant fuzzy truth degrees. Knowl Based Syst 2017. [DOI: 10.1016/j.knosys.2017.10.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Zhang X, Liu P, Tang G. Some interval-valued hesitant uncertain linguistic Bonferroni mean operators and their application in multiple attribute group decision making. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017. [DOI: 10.3233/jifs-162403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Xin Zhang
- School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan Shandong, China
| | - Peide Liu
- School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan Shandong, China
| | - Guolin Tang
- School of Economics and Management, Beijing University of Technology, Beijing, China
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Lin H, Wang ZJ. Linguistic multi-attribute decision making with considering decision makers’ risk preferences. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017. [DOI: 10.3233/jifs-17145] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Hui Lin
- School of Information Management and Engineering, Zhejiang University of Finance and Economics, Hangzhou, China
| | - Zhou-Jing Wang
- School of Information Management and Engineering, Zhejiang University of Finance and Economics, Hangzhou, China
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Li S, Yuan X, Li H. Approximation of intuitionistic fuzzy numbers by trapezoidal intuitionistic fuzzy numbers. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017. [DOI: 10.3233/jifs-161720] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Shuyang Li
- School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China
- Department of Basic Science, Dalian Naval Academy, Dalian, Liaoning, China
| | - Xuehai Yuan
- School of Science, Dalian University of Technology at Panjin, Liaoning, China
| | - Hongxing Li
- School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China
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Kabak Ö, Ervural B. Multiple attribute group decision making: A generic conceptual framework and a classification scheme. Knowl Based Syst 2017. [DOI: 10.1016/j.knosys.2017.02.011] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Wu J, Chiclana F, Fujita H, Herrera-Viedma E. A visual interaction consensus model for social network group decision making with trust propagation. Knowl Based Syst 2017. [DOI: 10.1016/j.knosys.2017.01.031] [Citation(s) in RCA: 233] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Wan SP, Xu J, Dong JY. Aggregating decision information into interval-valued intuitionistic fuzzy numbers for heterogeneous multi-attribute group decision making. Knowl Based Syst 2016. [DOI: 10.1016/j.knosys.2016.09.026] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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