(Max,?)-transforms and genetic algorithms for fuzzy measure identification

Fuzzy measures generalize additive and probabilities. Their advantage with respect to ones is that they permit model interactions between objects. Mesiar introduced in 1999 k-order Pan-additive fuzzy k-maxitive ones. They are related the Möbius transform generalizations. In this paper we introduce some other transforms call ( M a x , + ) ? represent convenient way when use genetic algorithms measure identification problems. We illustrate its identifying for subjective evaluation problem using Choquet integral Sugeno integral.