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

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 summarized in five aspects: (1) The information conte...

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Vydané v:	Information sciences Ročník 571; s. 649 - 675
Hlavní autori:	Liu, Ai-Hua, Wan, Shu-Ping, Dong, Jiu-Ying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.09.2021
Predmet:	Axiomatic design Heterogeneous multi-criteria group decision-making Information content Linear programming technique for multidimensional analysis of preference Linguistic fuzzy truth degree Information content Linguistic fuzzy truth degree Heterogeneous multi-criteria group decision-making Linear programming technique for multidimensional analysis of preference Axiomatic design
ISSN:	0020-0255, 1872-6291
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Popis
Shrnutí:	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 summarized in five aspects: (1) The information content definitions for six types of fuzzy numbers 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.
ISSN:	0020-0255 1872-6291
DOI:	10.1016/j.ins.2021.04.091