[1]LIU Fu-cai,CHEN Chao,ZHANG Yan-liu.The influence of sampling points on the descriptive performance of TS fuzzy modeling[J].CAAI Transactions on Intelligent Systems,2008,3(6):541-547.
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The influence of sampling points on the descriptive performance of TS fuzzy modeling

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 6 Page number: 541-547 Column: 学术论文—人工智能基础 Public date: 2008-12-25
Title:
The influence of sampling points on the descriptive performance of TS fuzzy modeling
Author(s):
LIU Fu-cai; CHEN Chao; ZHANG Yan-liu
Key Lab. of Industrial Computer Control Engineering of Hebei Province,Yanshan University，Qinhuangdao 066004,China
Keywords:
fuzzy identification;  number of sampling points;  triangular membership function;  netdiagonal method; T-S fuzzy model
CLC:
TP15
DOI:
-
Abstract:
The number of sampling points in fuzzy modeling has a substantial influence on the accuracy of models. If the sampled data is limited and its distribution not properly controlled, choice of the optimal number of sampling points creates significant problems in fuzzy identification. The author proposed a fuzzy identification algorithm with varied sampling points to investigate the influence of the number of sampling points on descriptive performance. Based on the T-S fuzzy model, we extracted the fuzzy rules by using the symmetrical triangular fuzzy division and the netdiagonal method. By modeling the DISO system and the Mackey Glass chaotic time series, we concluded that training and testing performance indexes in fuzzy models will increase with increased numbers of sampling points.
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