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A new group decision-making method with incomplete intuitionistic multiplicative preference relations

Xiao Yun Lu (School of Computer Science and Technology, Qinghai Normal University, Xining, China)
Hecheng Li (School of Mathematics and Statistics, Qinghai Normal University, Xining, China)
Qiong Hao (College of Mechanics and Electronics, Wuhan Railway Vocational College of Technology, Wuhan, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 15 February 2022

Issue publication date: 3 August 2023

169

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

Copyright © 2022, Emerald Publishing Limited

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