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基于聚类算法的模糊逻辑结构与系统性能分析
引用本文:祖家奎,赵淳生,戴冠中. 基于聚类算法的模糊逻辑结构与系统性能分析[J]. 南京航空航天大学学报, 2004, 36(1): 16-21
作者姓名:祖家奎  赵淳生  戴冠中
作者单位:南京航空航天大学航空宇航学院,南京,210016;西北工业大学自动控制系,西安,710072;南京航空航天大学航空宇航学院,南京,210016;西北工业大学自动控制系,西安,710072
摘    要:针对一类特殊的模糊逻辑系统,对模糊逻辑规则结构与系统性能之间的关系进行了深入细致的数学推导和分析,从而得出在采用聚类技术构造模糊逻辑结构中影响系统性能的主要因素。通过相关的论证与分析,为各种聚类算法在模糊逻辑结构辨识中的应用奠定了理论基础,避免了以往对模糊结构与性能之间表述的含糊性和不系统性,为模糊逻辑系统的合理设计及其应用提供了数学依据。

关 键 词:聚类算法  模糊逻辑结构  系统性能  模糊系统  结构辨识
文章编号:1005-2615(2004)01-0016-06
修稿时间:2003-01-07

Fuzzy Logical Structure and Its Performances Based on Clustering Algorithms
ZU Jia-kui ,,ZHAO Chun-sheng ,DAI Guan-zhong. Fuzzy Logical Structure and Its Performances Based on Clustering Algorithms[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2004, 36(1): 16-21
Authors:ZU Jia-kui     ZHAO Chun-sheng   DAI Guan-zhong
Affiliation:ZU Jia-kui 1,2,ZHAO Chun-sheng 1,DAI Guan-zhong 2
Abstract:In order to obtain the relationship between fuzzy logic structure and systematic performances of some special fuzzy logic systems, the a pproximation precision of fuzzy logic systems based on clustering algorithms is systematically analyzed and derived, and its mathematical relation is explicitl y given. After its conclusions are analyzed and discussed, some important factor s, which impact seriously on fuzzy logic structure and systematic performances, are achieved. The correlative conclusions provide powerfully academic foundation s for designing fuzzy logic structure, avoid some ambiguities of their relations , and make the identification of fuzzy logic structure more reasonable.
Keywords:clustering algorithm  fuzzy logic structure  sys tematic performances  fuzzy system  structure identification
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