Elliptical Distributions-Based Weights-Determining Method for OWA Operators

TL;DR

This paper introduces a novel elliptical distribution-based method for determining weights in OWA operators, enhancing aggregation techniques in multi-criteria decision making.

Contribution

It proposes a new approach using elliptical distributions and RIM quantifiers for more effective weight determination in OWA operators, expanding existing methods.

Findings

Developed an elliptical distribution-based weight determination method.

Analyzed desirable properties of the proposed method.

Compared with existing distribution-based approaches.

Abstract

The ordered weighted averaging (OWA) operators play a crucial role in aggregating multiple criteria evaluations into an overall assessment supporting the decision makers' choice. One key point steps is to determine the associated weights. In this paper, we first briefly review some main methods for determining the weights by using distribution functions. Then we propose a new approach for determining OWA weights by using the RIM quantifier. Motivated by the idea of normal distribution-based method to determine the OWA weights, we develop a method based on elliptical distributions for determining the OWA weights, and some of its desirable properties have been investigated.