A behavioral foundation for fuzzy measures


Article
volume 37, issue 3 pp 327-350.
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In Savage [41] a ‘behavioral foundation’ was given for subjective probabilities, to be used in the maximization of expected utility. This paper analogously gives a behavioral foundation for fuzzy measures, to be used in the maximization of ‘Choquet-expected utility’. This opens the way to empirical verification or falsification of fuzzy measures, and frees them of their ‘ad hoc’ character.



Keywords


Automatically Extracted Terms
  • measure
  • utility
  • probability
  • state
  • theorem
  • integral
  • preference
  • decision
  • choquet integral
  • choquet-expected utility
  • function
  • decision maker
  • wakker
  • money
  • lottery
  • result
  • foundation
  • lemma
  • condition
  • comonotonic