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When sorting schemas existing ranking algorithms of fuzzy relation matrix always obey some stated optimal rules and hard to check validity of fuzzy relation. Therefore, preference relation matrix is constructed under two stages: first three scales method is applied to form fuzzy ranking consistency matrix; then according to this matrix and the fuzzy relation matrix can be obtained by complementary...
Based on the fuzzy optimum theory, neural network and genetic algorithm, an intelligent forecasting method for medium-and-long term runoff forecast is proposed. Firstly, a fuzzy optimum model is integrated with BP neural network to construct a new fuzzy neural network describing the complicated relations between forecast factors and runoff. The network may fall into local minimum during the training...
On the ground of fuzzy optimum selection of BP neural network model, the paper introduces genetic algorithm to the model and presents an intelligent decision-making model based on fuzzy optimum selection of BP neural network model and mixed with genetic algorithm. A case proved that the intelligent decision-making model is efficient and robust in determining network topologic structure, accelerating...
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