Elliptical Distributions-Based Weights-Determining Method for OWA Operators
This work addresses a specific technical issue in decision-making systems, but it appears incremental as it builds on existing distribution-based methods.
The paper tackles the problem of determining weights for Ordered Weighted Averaging (OWA) operators, which aggregate multiple criteria evaluations, by proposing a new method based on elliptical distributions, and it investigates some desirable properties of this approach.
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.