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A mathematical programming-based method for heterogeneous multicriteria group decision analysis with aspirations and incomplete preference information

Abstract : Aspirations, which serve as a performance target and simplify cognitive processes associated with decision making, are an important decision factor for individuals and organizations. However, this factor is usually ignored in traditional multicriteria decision making. This paper considers a multicriteria group decision making problem with aspirations and incomplete preference information, in which criteria values and aspirations accept multiple formats. To solve this problem, new consistency and inconsistency indices considering importance and interaction as well as aspirations of criteria are defined. Then, we propose a bi-objective intuitionistic fuzzy programming model to identify importance and interaction parameters, based on which, an individual ranking of alternatives can be elicited. Next, to elicit a group ranking of individuals, a flexible mix 0-1 nonlinear programming model of minimizing the inconsistencies between the group final ranking and the individual ranking is established by comprehensively considering both the majority and the minority principles. Finally, an example of selecting the best strategic freight forwarder is used to illustrate the feasibility of the proposed method, followed by a sensitivity analysis and a comparison analysis. The prominent advantages of the developed method are its ability to handle multiple preference information characterizing bounded rationality and nonadditive behaviors of decision makers as well as improve a cardinal inputs-based group decision making model.
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https://hal-audencia.archives-ouvertes.fr/hal-01617972
Contributor : Sylvia Cheminel <>
Submitted on : Tuesday, October 17, 2017 - 12:00:27 PM
Last modification on : Monday, June 8, 2020 - 1:28:02 AM

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Wenkai Zhang, Yanbing Ju, Xiaoyue Liu, Mihalis Giannakis. A mathematical programming-based method for heterogeneous multicriteria group decision analysis with aspirations and incomplete preference information. Computers and Industrial Engineering, Elsevier, 2017, 113, pp.541 - 557. ⟨10.1016/j.cie.2017.09.030⟩. ⟨hal-01617972⟩

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