Improving minimax disparity model to determine the OWA operator weights

Ali Emrouznejad, Gholam R. Amin

Research output: Contribution to journalArticlepeer-review


Determining the Ordered Weighted Averaging (OWA) operator weights is important in decision making applications. Several approaches have been proposed in the literature to obtain the associated weights. This paper provides an alternative disparity model to identify the OWA operator weights. The proposed mathematical model extends the existing disparity approaches by minimizing the sum of the deviation between two distinct OWA weights. The proposed disparity model can be used for a preference ranking aggregation. A numerical example in preference ranking and an application in search engines prove the usefulness of the generated OWA weights.
Original languageEnglish
Pages (from-to)1477-1485
Number of pages9
JournalInformation Sciences
Issue number8
Publication statusPublished - 15 Apr 2010


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