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SIRMs fuzzy approximate reasoning using L-R fuzzy number as premise valuable

机译:以L-R模糊数为前提的SIRM模糊近似推理

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This study has been studied SIRMs (Single Input Rule Modules) connected fuzzy inference model in order to provide the insight into fuzzy control systems. The framework consists of two propositions: To guarantee the convergence of optimal solution, a set of fuzzy membership functions (admissible fuzzy controller) which are selected out of continuous function space is compact metrizable. And assuming approximate reasoning to be a functional on the set of membership functions, its continuity is proved. Then, we show the existence of SIRMs which minimize (maximize) the integral performance function of the nonlinear feedback fuzzy system.
机译:这项研究已经研究了SIRM(单输入规则模块)连接的模糊推理模型,以提供对模糊控制系统的见识。该框架包含两个命题:为了保证最优解的收敛性,从连续函数空间中选择出的一组模糊隶属函数(可容许的模糊控制器)是紧凑可度量的。并假设近似推理是隶属函数集的一个函数,证明了其连续性。然后,我们表明存在最小化(最大化)非线性反馈模糊系统的积分性能函数的SIRM。

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