A Novel Group Decision Making Approach using Pythagorean Fuzzy Preference Relation

Hengshan Zhang, Tianhua Chen, Zhongmin Wang, Yanping Chen, Chunru Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pythagorean Fuzzy Preference Relations (PFPRs) have been considered in recent literature more powerful and flexible than the popular intuitionistic fuzzy preference relation in dealing with the linguistic imprecision for decision makers in the large scale group decision making. Following on this promising trend, a novel approach based on the PFPRs is proposed for decision support. In particular, the proposed work starts with the acquisition of the optimal comparison matrices, which essentially record the pairwise comparison of the alternatives from the positive and negative opinions. The proposed consensus reaching process is then utilised to guide the decision makers to revise the provided information in order to reach the overall group consensus, before the derivation of rankings of the alternatives. Experimental studies are provided to demonstrate the workings and effectiveness of the proposed approach in comparison with two state-of-the-art methods.
Original languageEnglish
Title of host publication2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781728169323
ISBN (Print)9781728169330
DOIs
Publication statusPublished - Jul 2020
Event2020 IEEE International Conference on Fuzzy Systems - Held virtually (rather than Glasgow) due to COVID-19, United Kingdom
Duration: 19 Jul 202024 Jul 2020
https://wcci2020.org/

Publication series

NameIEEE International Fuzzy Systems conference proceedings
PublisherIEEE
ISSN (Print)1544-5615
ISSN (Electronic)1558-4739

Conference

Conference2020 IEEE International Conference on Fuzzy Systems
Abbreviated titleFUZZ-IEEE
CountryUnited Kingdom
Period19/07/2024/07/20
Internet address

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