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CASCADED FUZZY SYSTEM AND ITS ROBUST ANALYSIS BASED ON SYLLOGISTIC FUZZY REASONING
作者姓名:WangShitong  KorrisF.L.Chung
作者单位:[1]DeptofComputer,SchoolofInformation,SouthernYangtseUniv.,Wuxi214036 [2]DeptComputing,HongKongPolytechnicUniv.,HongKong
摘    要: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.

关 键 词:模糊系统  三段论模糊推理  稳健性  级联  CFS
收稿时间:9 September 2002

Cascaded fuzzy system and its robust analysis based on syllogistic fuzzy reasoning
WangShitong KorrisF.L.Chung.CASCADED FUZZY SYSTEM AND ITS ROBUST ANALYSIS BASED ON SYLLOGISTIC FUZZY REASONING[J].Journal of Electronics,2004,21(2):116-126.
Authors:Wang Shitong  Korris F L Chung
Affiliation:(1) Dept of Computer, School of Information, Southern Yangtse Univ., 214036 Wuxi;(2) Dept Computing, Hong Kong Polytechnic Univ., Hong Kong
Abstract: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.
Keywords:Fuzzy systems  Syllogistic fuzzy reasoning  Robustness
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