Optimization under fuzzy rule constraints
作者： Silvio Giove , Christer Carlsson , Róbert Fullér
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摘要: Suppose we are given a mathematical programming problem in which the functional relationship between decision variables and objective function is not completely known. Our knowledge-base consists of block fuzzy if-then rules, where antecedent part rules contains some linguistic values variables, consequence linear combination crisp variables. We suggest use Takagi Sugeno fuzzy reasoning method to determine solve resulting (usually nonlinear) find fair optimal solution original problem.
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