Fuzzy chance-constrained programming with linear combination of possibility measure and necessity measure
作者： Kakuzo Iwamura , Lixing Yang
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摘要: Based on the possibility measure and necessity measure, mλ-measure is presented some mathematical properties of are also obtained, including continuity, monotonicity, subadditivity, so on. Critical values fuzzy variable with respect to introduced employed construct chance-constrained programming models. To solve models, genetic algorithm based simulation designed. Finally, two numerical examples given show applications models algorithm.
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