Optimization in a Fuzzy Environment

Abstract

We study the representation of an optimization with inexact constraints, as a fuzzy integral with respect to a capacity (or to an outer measure) rather than to a fuzzy measure. We prove a mean-value theorem for the fuzzy integral, which has as a consequence the reduction of optimization with inexact constraints to classical optimization. We give sufficient conditions for this reduction to hold.