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2篇 您的检索式：作者名="KorrisF.L.Chung"

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		题名	作者	年代	出处	被引量
	1	CASCADED FUZZY SYSTEM AND ITS ROBUST ANALYSIS BASED ON SYLLOGISTIC FUZZY REASONING显示文摘Syllogistic fuzzy reasoning is introduced into fuzzy system, and the new Cascaded Fuzzy System(CFS) is presented. The thoroughly theoretical analysis and experimental results show that syllogistic fuzzy reasoning is more robust than all other implication inferences for noise data and that CFS has better robustness than conventional fuzzy systems, which provide the solid foundation for CFS's potential application in fuzzy control and modeling and so on.	WangShitong KorrisF.L.Chung	2004	Journal of Electronics(China)2004，21，2：	2
	2	Fuzzy inference systems with no any rule base and linearly parameter growth显示文摘A class of new fuzzy inference systems New-FISs is presented. Compared with the standard fuzzy system, New-FIS is still a tmiversal approximator and has no fuzzy rule base and linearly parameter growth. Thus, it effectively overcomes the second “curse of dimensionahty” : there is an exponential growth in the number of parameters of a fuzzy system as the numberof input variables, resulting in surprisingly reduced computational complexity and being especially suitable for applications, where the complexity is of the first importance with respect to the approximation accuracy.	ShitongWANC KorrisF.L.CHUNG JiepingLU BinHAN DewenHU	2004	控制理论与应用(英文版)2004，2，2：	2

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