A new group decision-making method with incomplete intuitionistic multiplicative preference relations
ISSN: 0368-492X
Article publication date: 15 February 2022
Issue publication date: 3 August 2023
Abstract
Purpose
Consistency and consensus are two important research issues in group decision-making (GDM). Considering some drawbacks associated with these two issues in existing GDM methods with intuitionistic multiplicative preference relations (IMPRs), a new GDM method with complete IMPRs (CIMPRs) and incomplete IMPRs (ICIMPRs) is proposed in this paper.
Design/methodology/approach
A mathematically programming model is constructed to judge the consistency of CIMPRs. For the unacceptably consistent CIMPRs, a consistency-driven optimization model is constructed to improve the consistency level. Meanwhile, a consistency-driven optimization model is constructed to supplement the missing values and improve the consistency level of the ICIMPRs. As to GDM with CIMPRs, first, a mathematically programming model is built to obtain the experts' weights, after that a consensus-driven optimization model is constructed to improve the consensus level of CIMPRs, and finally, the group priority weights of alternatives are obtained by an intuitionistic fuzzy programming model.
Findings
The case analysis of the international exchange doctoral student selection problem shows the effectiveness and applicability of this GDM method with CIMPRs and ICIMPRs.
Originality/value
First, a novel consistency definition of CIMPRs is presented. Then, a consistency-driven optimization model is constructed, which supplements the missing values and improves the consistency level of ICIMPRs simultaneously. Therefore, this model greatly improves the efficiency of consistency improving. Experts' weights determination method considering the subjective and objective information is proposed. The priority weights of alternatives are determined by an intuitionistic fuzzy (IF) programming model considering the risk preference of experts, so the method determining priority weights is more flexible and agile. Based on the above theoretical basis, a new GDM method with CIMPRs and ICIMPRs is proposed in this paper.
Keywords
Acknowledgements
The research work was supported in part by the National Natural Science Foundation of China under Grant (Nos. 61966030), the Natural Science Foundation of Qinghai Province of China (No. 2018-ZJ-901).
Citation
Lu, X.Y., Li, H. and Hao, Q. (2023), "A new group decision-making method with incomplete intuitionistic multiplicative preference relations", Kybernetes, Vol. 52 No. 8, pp. 2718-2747. https://doi.org/10.1108/K-11-2021-1169
Publisher
:Emerald Publishing Limited
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