A TSK fuzzy inference algorithm for online identification

Kyoungjung Kim, Eun Ju Whang, Chang Woo Park, Euntai Kim, Mignon Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an online self-organizing identification algorithm for TSK fuzzy model. The structure of TSK fuzzy model is identified using distance. Parameters of the piecewise linear function consisting consequent part are obtained using recursive version of combined learning method of global and local learning. Both input and output spaces are considered in the proposed algorithm to identify the structure of the TSK fuzzy model. By processing clustering both in input and output space, outliers are excluded in clustering effectively. The proposed algorithm is non-sensitive to noise not by using data itself as cluster centers. The proposed algorithm can obtain a TSK fuzzy model through one pass. By using the proposed combined learning method, the estimated function can have high accuracy.

Original languageEnglish
Title of host publicationFuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings
PublisherSpringer Verlag
Pages179-188
Number of pages10
ISBN (Print)9783540283126
Publication statusPublished - 2006 Jan 1
Event2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsa, China
Duration: 2005 Aug 272005 Aug 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3613 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005
CountryChina
CityChangsa
Period05/8/2705/8/29

Fingerprint

Fuzzy Inference
Fuzzy inference
Fuzzy Model
Clustering
Piecewise Linear Function
Output
Self-organizing
Outlier
Identification (control systems)
High Accuracy
Processing
Learning

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, K., Whang, E. J., Park, C. W., Kim, E., & Park, M. (2006). A TSK fuzzy inference algorithm for online identification. In Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings (pp. 179-188). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3613 LNAI). Springer Verlag.
Kim, Kyoungjung ; Whang, Eun Ju ; Park, Chang Woo ; Kim, Euntai ; Park, Mignon. / A TSK fuzzy inference algorithm for online identification. Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Springer Verlag, 2006. pp. 179-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Kim, K, Whang, EJ, Park, CW, Kim, E & Park, M 2006, A TSK fuzzy inference algorithm for online identification. in Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3613 LNAI, Springer Verlag, pp. 179-188, 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005, Changsa, China, 05/8/27.

A TSK fuzzy inference algorithm for online identification. / Kim, Kyoungjung; Whang, Eun Ju; Park, Chang Woo; Kim, Euntai; Park, Mignon.

Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Springer Verlag, 2006. p. 179-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3613 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kim K, Whang EJ, Park CW, Kim E, Park M. A TSK fuzzy inference algorithm for online identification. In Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Springer Verlag. 2006. p. 179-188. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).