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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52570

Title: Three-way Group Conflict Analysis Based on Pythagorean Fuzzy Set Theory
Authors: Guangming Lang
Duoqian Miao
Hamido Fujita
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: Fuzzy sets
Decision theory
Rough sets
Information systems
Bayes methods
Decision making
Uncertainty
Date: 2019
Issue Date: 2019-11-18T08:48:14Z
Publisher: IEEE Transactions on Fuzzy Systems
Abstract: Abstract: In some real-world situations, Pythagorean fuzzy sets are more powerful and effective than intuitionistic fuzzy sets to describe vague and uncertain information, and there are many Pythagorean fuzzy information systems for conflicts in which attitudes of agents on issues are depicted by Pythagorean fuzzy numbers. In this paper, we first provide the concepts of positive, neutral and negative alliances with two thresholds and employ examples to illustrate how to compute positive, neutral and negative alliances in Pythagorean fuzzy information systems for conflicts. Then we focus on three-way conflict analysis based on Bayesian minimum risk theory and explore examples to show how to compute the positive, neutral and negative alliances with a Pythagorean fuzzy loss function given by an expert. Finally, we study how to calculate positive, neutral and negative alliances with group decision theory and take examples to demonstrate how to construct the positive, neutral and negative alliances with a group of Pythagorean fuzzy loss functions given by more experts.
Relation: (99) pp.1-1
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52570
Appears in Collections:[資訊工程學系] 期刊論文

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