If we know the probabilities p1; : : : ; pn of diierent situations s1; : : : ; sn, then we can choose a decision Ai for which the expected beneet Ci = p1 ci1 + : : : + pn cin takes the largest possible value, where cij denotes the beneet of decision Ai in situation sj. In many real life situations, however, we do not know the exact values of the probabilities pj; we only know the intervals pj =...

This paper will present a novel concept of expected values of fuzzy variables, which is essentially a type of Choquet integral and coincides with that of random variables. In order to calculate the expected value of general fuzzy variable, a fuzzy simulation technique is also designed. Finally, we construct a spectrum of fuzzy expected value models, and integrate fuzzy simulation, neural networ...