A minimax disparity approach for obtaining OWA operator weights

  • Authors:
  • Ying-Ming Wang;Celik Parkan

  • Affiliations:
  • Manchester School of Management, Manchester, UK and School of Public Administration, Fuzhou University, Fuzhou, PR China;Department of Management, Long Island University, Brookville, NY

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2005

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Abstract

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.