Large-scale group decision-making based on Pythagorean linguistic preference relations using experts clustering and consensus measure with non-cooperative behavior analysis of clusters

Prasenjit Mandal · Sovan Samanta · Madhumangal Pal

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Multi-Criteria Decision Making Game Theory and Voting Systems Delphi Technique in Research

Abstract

Abstract To represent qualitative aspect of uncertainty and imprecise information, linguistic preference relation (LPR) is a powerful tool for experts expressing their opinions in group decision-making (GDM) according to linguistic variables (LVs). Since for an LV, it generally means that membership degree is one, and non-membership and hesitation degrees of the experts cannot be expressed. Pythagorean linguistic numbers/values (PLNs/PLVs) are novel choice to address this issue. The aim of this paper which we propose a GDM problem involved a large number of the experts is called large-scale GDM (LSGDM) based on Pythagorean linguistic preference relation (PLPR) with a consensus model. Sometimes, the experts do not modify their opinions to achieve consensus. Therefore, the experts’ proper opinions’ management with their non-cooperative behaviors (NCBs) is necessary to establish a consensus model. At the same time, it is essential to ensure the proper adjustment of the credibility information. The proposed model using grey clustering method is divided with the experts’ similar evaluations into a subgroup. Then, we aggregate the experts’ evaluations in each cluster. A cluster consensus index (CCI) and a group consensus index (GCI) are presented to measure consensus level among the clusters. Then, we provide a mechanism for managing the NCBs of the clusters, which contain two parts: (1) NCB degree is defined using CCI and GCI for identifying the NCBs of the clusters; (2) implemented the weight punishment mechanism of the NCBs clusters to consensus improvement. Finally, an example is offered for usefulness of the proposed approach.

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References

2013Pythagorean Membership Grades in Multicriteria Decision Making 1978Decision-making with a fuzzy preference relation 1996A model of consensus in group decision making under linguistic assessments 2007A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations 1996Direct approach processes in group decision making using linguistic OWA operators 2013A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making 2015Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions 2017A consensus model for large-scale group decision making with hesitant fuzzy information and changeable clusters

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