计算机科学 ›› 2024, Vol. 51 ›› Issue (2): 79-86.doi: 10.11896/jsjkx.221100229
彭小玉, 潘小东, 申涵寒, 何红梅
PENG Xiaoyu, PAN Xiaodong, SHEN Hanhan, HE Hongmei
摘要: 文中讨论了带有不同模糊基函数的模糊系统的逼近问题。首先,基于一维正则模糊划分和重叠函数建立多维正则模糊划分,以划分中的元素为模糊基函数设计模糊系统,应用Weierstrass逼近定理证明了该模糊系统是通用逼近器,给出了模糊系统的逼近误差界。其次,提出了多项式型、指数型和对数型模糊系统,并给出了带有隶属函数参数的逼近误差界。最后,通过数值实验对不同模糊系统的逼近能力进行了比较,实验结果进一步验证了理论分析的正确性。
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[1]WANG L X.Fuzzy systems are universal approximators[C]//Proceedings of IEEE International Conference on Fuzzy Systems.San Diego,CA,USA:IEEE,1992:1163-1170. [2]WANG G J,WANG H Z,LONG Z Q.Norm approximation of Mamdani fuzzy system to a class of integrable functions[J].International Journal of Fuzzy Systems,2021,23(3):833-848. [3]TAO Y J,SUO C F,WANG G J.Approximation factor of the piecewise linear functions in Mamdani fuzzy system and its realization process[J].Journal of Intelligent & Fuzzy Systems,2021,41(6):6859-6873. [4]TAO Y J,YOU Q L,LI X P.Approximation factors and subdivision’s number of piecewise linear functions in low dimensional space[J].Journal of Northeast Normal University(Natural Science Edition),2021,53(2):19-24. [5]SADJADI E N,EBRAHIMI M,GACHLOO Z.Discussion onaccuracy of approximation with smooth fuzzy models[C]//Proceedings of 2020 IEEE Canadian Conference on Electrical and Computer Engineering(CCECE).London,ON,Canada:IEEE,2020:1-6. [6]SADJADI E N.Smooth Compositions Made Stabilization ofFuzzy Systems:Easy and More Robust[J].IEEE Transactions on Cybernetics,2021,52(7):5819-5827. [7]XIE W B,SANG S,LAM H K,et al.A polynomial membership function approach for stability analysis of fuzzy systems[J].IEEE Transactions on Fuzzy Systems,2020,29(8):2077-2087. [8]XIE W B,ZHANG J,LI Y F,et al.A novel polynomial membership functions based control method for T-S fuzzy systems[J].ISA Transactions,2022,129:192-203. [9]ZENG X J,SINGH M G.Approximation theory of fuzzy systems-SISO case[J].IEEE Transactions on Fuzzy Systems,1995,2(2):162-176. [10]LI D C,LI Y M.Approximation Accuracy Analysis of Boolean Fuzzy Systems as Function Approximators[J].Fuzzy Systems and Mathematics,2006,20(2):66-71. [11]CHEN G.On approaching precisions of standard fuzzy systems with different basic functions[J].Acta Automatica Sinica,2008,34(7):823-827. [12]ZENG X J,SINGH M G.Approximation theory of fuzzy systems-MIMO case[J].IEEE Transactions on Fuzzy Systems,1995,3(2):219-235. [13]HUANG W H,FANG K L,ZHANG Z,et al.Universal appro-ximation of typical fuzzy systemes with generalized linear membership function[J].Application Research of Computers,2010,27(4):1263-1265,1269. [14]JIANG M Z,YUAN X H.A fuzzy inference modeling method for nonlinear systems by using triangular pyramid fuzzy system[J].Journal of Intelligent & Fuzzy Systems,2017,33(2):1187-1196. [15]JIANG M Z,YUAN X H.A new type of fuzzy systems using pyramid membership functions(PMFs) and approximation pro-perties[J].Soft Computing,2018,22(21):7103-7118. [16]PAN X D,XU Y.Redefinition of the concept of fuzzy set based on vague partition from the perspective of axiomatization[J].Soft Computing,2018,22(6):1777-1789. [17]PAN X D,XU Y.Fuzzy relations based on two-dimensionalvague partition from the perspective of axiomation[C]//Proceedings of the 14th International FLINS Conference(FLINS 2020).Cologne,Germany,2020:301-308. [18]HU B Q.Basis of Fuzzy Theory[M].Wuhan:Wuhan UniversityPress,2010. [19]WU C X,ZHAO Z T,REN X K.Fuzzy Analysis and SpecialFunctional Spaces[M].Harbin:Harbin Polytechnic University Press,2013. [20]WANG L X.A Course in Fuzzy Systems and Control[M].Beijing:Tsinghua University Press,2003. [21]GÓMEZ D,RODRIGUEZ J T,MONTERO J,et al.n-Dimen-sional overlap functions[J].Fuzzy Sets and Systems,2016,287:57-75. [22]ZORICH V A.Mathematical analysis II[M].Berlin:Springer,2016:453-454. [23]WANG W Q,YANG Z X.Design and Implementation of a Universal Fuzzy Approximator Based on Mamdani System[J].Information & Control,2015,44(4):51-55. |
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