An Algorithm for Identifying Fuzzy Measures with Ordinal Information
Consider a decision problem in which the preferences of the decision maker can be modelled through the Choquet integral  with respect to a fuzzy measure . This means that he follows some behavioural rules while making decision (see , ). Next step consists in obtaining such a measure. The problem of identifying fuzzy measures from learning data has always been a difficult problem occurring in the practical use of fuzzy measures , .
KeywordsDecision Maker Numerical Scale Interval Scale Fuzzy Measure Quadratic Problem
Unable to display preview. Download preview PDF.
- 1.A. Chateauneuf. Comonotonic axioms and RDEU theory for arbitrary consequences. Journal of Mathematical Economics,to appear.Google Scholar
- 4.M. Grabisch. k-order additive discrete fuzzy measures. In Proceedings of 6th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), pages 1345–1350, Granada (Spain), 1996.Google Scholar
- 10.M. Sugeno. Theory of fuzzy integrals and its applications. PhD thesis, Tokyo Institute of Technology, 1974.Google Scholar