Abstract
In this paper we wish to use fuzzy chaos to generate fuzzy simulation. We first discuss how fuzzy chaos can produce a chaotic sequence of fuzzy numbers. We apply this technique to fuzzily simulate a solution to a simple fuzzy optimization problem. Other applications of fuzzy simulation to fuzzy mathematical programming, fuzzy max flow, fuzzy regression, and tuning a fuzzy controller are also presented.
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