OWA operators with maximal Rényi entropy

  • Authors:
  • Péter Majlender

  • Affiliations:
  • Turku Centre for Computer Science/Institute for Advanced Management Systems Research, Åbo Akademi University, Lemminkäinengatan 14B, FIN-20520 Åbo, Finland

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2005

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Abstract

This paper lays bare a parametric class of ordered weighted averaging (OWA) operators with maximal Renyi entropy OWA weights for any level of orness. In particular, we shall formulate an extended approach to decision making with OWA operators by introducing considerations of maximizing information content in the aggregation according to a general parametric class of dispersion measures.