Dependent OWA operators

  • Authors:
  • Zeshui Xu

  • Affiliations:
  • Department of Management Science and Engineering, School of Economics and Management, Tsinghua University, Beijing, China

  • Venue:
  • MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
  • Year:
  • 2006

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Abstract

Yager [1] introduced several families of ordered weighted averaging (OWA) operators, in which the associated weights depend on the aggregated arguments. In this paper, we develop a new dependent OWA operator, and study some of its desirable properties. The prominent characteristic of this dependent OWA operator is that it can relieve the influence of unfair arguments on the aggregated results. Finally, we give an example to illustrate the developed operator.