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Titlebook: Computational Intelligence; International Confer De-Shuang Huang,Kang Li,George William Irwin Conference proceedings 2006 Springer-Verlag B

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Graduate Texts in Operations Researchumn. The essential part of fuzzy PID controller is the fuzzy logic control, which is a multi-input-multi-output controller. A design method of the fuzzy PID controller is presented. The simulation results show that the proposed Fuzzy PID controller has preferable performance and significant advantages over the traditional PID controller.
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Structural Design via Evolution Strategies In order to solve them, direction fuzzy sets are introduced by breaking through the limitations of the definitions of classical fuzzy sets. And the union and intersection of direction fuzzy sets are discussed. Especially, an application example (Escape Model) is dug up to show the significance of the direction fuzzy set theory.
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Stochastic Processes: General Theoryic controllers. First a recursive rule base adjustment algorithm is developed, which has the benefit that it is computationally more efficient for the generation of a decision table. Then utilizing the advantage of GA optimization, a novel approach that each random combination of the optimized param
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Stochastic Processes: General Theory flow under some chance constraints with respect to credibility measure of arc flow of network. Some crisp equivalents of fuzzy chance constraints are presented when the fuzzy capacities are characterized by trapezoidal fuzzy numbers and general fuzzy numbers respectively. Furthermore, a genetic alg
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