Parametric aggregation in ordered weighted averaging

Gholam R. Amin, Ali Emrouznejad

Research output: Contribution to journalArticlepeer-review

Abstract

Incorporating further information into the ordered weighted averaging (OWA) operator weights is investigated in this paper. We first prove that for a constant orness the minimax disparity model [13] has unique optimal solution while the modified minimax disparity model [16] has alternative optimal OWA weights. Multiple optimal solutions in modified minimax disparity model provide us opportunity to define a parametric aggregation OWA which gives flexibility to decision makers in the process of aggregation and selecting the best alternative. Finally, the usefulness of the proposed parametric aggregation method is illustrated with an application in metasearch engine. © 2011 Elsevier Inc. All rights reserved.
Original languageEnglish
Pages (from-to)819-827
Number of pages9
JournalInternational Journal of Approximate Reasoning
Volume52
Issue number6
DOIs
Publication statusPublished - Sep 2011

Keywords

  • ordered weighted averaging
  • metasearch engine
  • parametric aggregation
  • feasible direction
  • alternative optimal solutions
  • minimax disparity

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