A minimax disparity approach for obtaining OWA operator weights

One of the key issues in the theory of ordered weighted averaging (OWA) operators is the determination of OWA operator weights. In this paper, a minimax disparity approach for obtaining OWA operator weights is proposed. This involves the formulation and solution of a linear programming (LP) model for a given degree of orness. The proposed approach generates the OWA operator weights by minimizing the maximum difference between any two adjacent weights. A numerical example is provided to illustrate the application of the proposed approach in generating viable OWA operator weights in a simple and effective way.