Fuzzy Expected Value Models
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 102)
Assume that x is a decision vector, ξ is a fuzzy vector, f (x, ξ) is a return function, and g j (x, ξ) are constraint functions, j = 1, 2, ⋯, p.
KeywordsGenetic Algorithm Trained Neural Network Fuzzy Programming Fuzzy Simulation Fuzzy Vector
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Springer-Verlag Berlin Heidelberg 2002