Conflict Analysis for Pythagorean Fuzzy Information Systems with Group Decision Making
This addresses conflict analysis for decision-makers using Pythagorean fuzzy sets, but it appears incremental as it extends existing methods to a specific fuzzy set type.
The paper tackled conflict analysis in Pythagorean fuzzy information systems by introducing positive, central, and negative alliances with thresholds and applying Bayesian minimum risk theory, but no concrete results or numbers were reported.
Pythagorean fuzzy sets provide stronger ability than intuitionistic fuzzy sets to model uncertainty information and knowledge, but little effort has been paid to conflict analysis of Pythagorean fuzzy information systems. In this paper, we present three types of positive, central, and negative alliances with different thresholds, and employ examples to illustrate how to construct the positive, central, and negative alliances. Then we study conflict analysis of Pythagorean fuzzy information systems based on Bayesian minimum risk theory. Finally, we investigate group conflict analysis of Pythagorean fuzzy information systems based on Bayesian minimum risk theory.