A three-part input-output clustering-based approach to fuzzy system identification

Sj Lee*, Xiao Jun Zeng

*Corresponding author for this work

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

2 Scopus citations

Abstract

This article presents a clustering-based approach to fuzzy system identification. In order to construct an effective initial fuzzy model, this article tries to present a modular method to identify fuzzy systems based on a hybrid clustering-based technique. Moreover, the determination of the proper number of clusters and the appropriate location of clusters are one of primary considerations on constructing an effective initial fuzzy model. Due to the above reasons, a hybrid clustering algorithm concerning input, output, generalization and specialization has hence been introduced in this article. Further, the proposed clustering technique, three-part input-output clustering algorithm, integrates a variety of clustering features simultaneously, including the advantages of input clustering, output clustering, flat clustering, and hierarchical clustering, to effectively perform the identification of clustering problem.

Original languageEnglish
Title of host publicationProceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
Pages55-60
Number of pages6
DOIs
StatePublished - 1 Dec 2010
Event2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 - Cairo, Egypt
Duration: 29 Nov 20101 Dec 2010

Publication series

NameProceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Conference

Conference2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
CountryEgypt
CityCairo
Period29/11/101/12/10

Keywords

  • Fuzzy set
  • Fuzzy system identification
  • Hybrid clustering

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    Lee, S., & Zeng, X. J. (2010). A three-part input-output clustering-based approach to fuzzy system identification. In Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 (pp. 55-60). [5687290] (Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10). https://doi.org/10.1109/ISDA.2010.5687290