A Novel Multicriteria Group Decision Making Approach With Intuitionistic Fuzzy SIR Method

TL;DR

This paper introduces a new group decision-making method combining intuitionistic fuzzy sets with the SIR ranking approach to better handle uncertainty and multiple opinions in multi-criteria decisions, demonstrated through a supply chain example.

Contribution

It develops a novel intuitionistic fuzzy SIR method that integrates individual opinions and handles uncertainty in group MCDM problems.

Findings

Effective handling of uncertain information using intuitionistic fuzzy sets.

Successful application in a supply chain management decision problem.

Improved decision accuracy with integrated group opinions.

Abstract

The superiority and inferiority ranking (SIR) method is a generation of the well-known PROMETHEE method, which can be more efficient to deal with multi-criterion decision making (MCDM) problem. Intuitionistic fuzzy sets (IFSs), as an important extension of fuzzy sets (IFs), include both membership functions and non-membership functions and can be used to, more precisely describe uncertain information. In real world, decision situations are usually under uncertain environment and involve multiple individuals who have their own points of view on handing of decision problems. In order to solve uncertainty group MCDM problem, we propose a novel intuitionistic fuzzy SIR method in this paper. This approach uses intuitionistic fuzzy aggregation operators and SIR ranking methods to handle uncertain information; integrate individual opinions into group opinions; make decisions on multiple-criterion; and finally structure a specific decision map. The proposed approach is illustrated in a simulation of group decision making problem related to supply chain management.