An axiomatic design-based mathematical programming method for heterogeneous multi-criteria group decision making with linguistic fuzzy truth degrees

【Author】 Liu, Ai-Hua; Wan, Shu-Ping; Dong, Jiu-Ying

【Source】INFORMATION SCIENCES

【影响因子】8.233

【Abstract】This paper aims to develop a new axiomatic design-based mathematical programming method for heterogeneous multi-criteria group decision making (HMCGDM) problems with linguistic fuzzy truth degrees (LFTDs). The main contributions of this paper are sum-marized in five aspects: (1) The information content definitions for six types of fuzzy num-bers are initially provided according to axiomatic design. (2) Considering the authority of experts on different criteria and group consensus, a bi-objective programming model is constructed to derive experts' weights by maximizing individual deviation and minimizing group discordance. (3) Each alternative is assessed on the basis of its information content to a fuzzy positive ideal solution. Information content is firstly used to define the linguistic fuzzy consistency and inconsistency indices. (4) A bi-objective linguistic fuzzy mathematic programming model is built to determine the criteria weights, which considers consistency and inconsistency indices simultaneously. This model can be dexterously transformed into a crisp linear programming model for resolution by the linguistic scale function. (5) The group information content of each alternative to fuzzy positive ideal solution is calculated to determine the ranking order of alternatives. Finally, an example of blockchain service provider selection is given to validate the proposed method. (c) 2021 Elsevier Inc. All rights reserved.

【Keywords】Information content; Axiomatic design; Linguistic fuzzy truth degree; Heterogeneous multi-criteria group decision-making; Linear programming technique for multidimensional analysis of preference

【发表时间】2021 SEP

【收录时间】2022-01-02

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