4.7 Article

An integrated method for cognitive complex multiple experts multiple criteria decision making based on ELECTRE III with weighted Borda rule

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.omega.2019.03.010

关键词

Multiple criteria decision making; Cognitive complex linguistic information; Multiple experts multiple criteria decision making; Hesitant fuzzy linguistic term set; ELECTRE III; Borda rule

资金

  1. National Natural Science Foundation of China [71771156]
  2. 2019 Sichuan Planning Project of Social Science [SC18A007]
  3. 2019 Soft Science Project of Sichuan Science and Technology Department [2019JDR0141]

向作者/读者索取更多资源

The ELECTRE (ELimination Et Choix Traduisant la REalite, in French) is an effective multiple criteria decision making method based on comparative analysis. Among the family of the ELECTRE methods and their extensions, the ELECTRE III is widely used since it can tackle uncertain and imprecise information. The hesitant fuzzy linguistic term set can represent people's perceptions more comprehensively and flexibly than exact numbers especially in cognitive complex decision-making process. In this paper, we develop an integrated method based on the ELECTRE III to handle the cognitive complex multiple experts multiple criteria decision making problems in which the cognitive complex information is represented by hesitant fuzzy linguistic term sets and the outranking relations between alternatives are calculated by a novel score-function-based distance measure between hesitant fuzzy linguistic elements. A combinative weight-determining method involving both subjective and objective opinions of experts is introduced to derive the weights of criteria. After obtaining the ranking of alternatives from each experts' decision matrix by the distillation algorithm, the weighted Borda rule is implemented to aggregate the rankings of alternatives regarding different experts. Some ordinal consensus measures are introduced to identify the reliability of the final ranking result. An application of hospital ranking in China is provided to validate the efficiency of the proposed method. (C) 2019 Elsevier Ltd. All rights reserved.

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