Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)
- Volume 31B Issue 6
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- Pages.43-52
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- 1994
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- 1016-135X(pISSN)
Fuzzy Identification by means of Fuzzy Inference Method and Its Application to Wate Water Treatment System
퍼지추론 방법에 의한 퍼지동정과 하수처리공정시스템 응용
Abstract
A design method of rule-based fuzzy modeling is presented for the model identification of complex and nonlinear systems. The proposed rule-based fuzzy modeling implements system structure and parameter identification in the efficient form of ``IF....,THEN...', using the theories of optimization theory , linguistic fuzzy implication rules and fuzzy c-means clustering. Three kinds of method for fuzzy modeling presented in this paper include simplified inference (type I), linear inference (type 2), and modified linear inference (type 3). In order to identify premise structure and parameter of fuzzy implication rules, fuzzy c- means clustering and modified complex method are used respectively and the least sequare method is utilized for the identification of optimum consequence parameters. Time series data for gas furance and those for sewage treatment process are used to evaluate the performance of the proposed rule-based fuzzy modeling. Comparison shows that the proposed method can produce the fuzzy model with higher accuracy than previous other studies.
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