Super-Mixed Multiple Attribute Group Decision Making Method Based on Hybrid Fuzzy Grey Relation Approach Degree

TL;DR

This paper introduces a novel super-mixed multiple attribute group decision-making method that integrates fuzzy grey relation techniques with a hybrid approach, considering subjective and objective weights and combining multiple evaluation methods for robust ranking.

Contribution

It proposes a new decision-making framework that uses interval grey numbers for weights and combines grey TOPSIS, grey incidence, and membership degree methods with a weighted Borda ranking.

Findings

Demonstrates the method's applicability through an example.

Achieves comprehensive decision evaluation by integrating multiple grey relation measures.

Provides a robust ranking approach for complex decision-making scenarios.

Abstract

The feature of our method different from other fuzzy grey relation method for supermixed multiple attribute group decision-making is that all of the subjective and objective weights are obtained by interval grey number and that the group decisionmaking is performed based on the relative approach degree of grey TOPSIS, the relative approach degree of grey incidence and the relative membership degree of grey incidence using 4-dimensional Euclidean distance. The weighted Borda method is used to obtain final rank by using the results of four methods. An example shows the applicability of the proposed approach.