SVD-based fuzzy model reduction strategy

J. Yen, L. Wang

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

23 Citations (Scopus)

Abstract

This paper describes a novel fuzzy model reduction approach for overcoming the curse of dimensionality associated with high-dimensional data modeling problems. A numerically reliable orthogonal transformation technique, known as the singular value decomposition (SVD), is utilized to detect and select the dominant fuzzy rules from a rule base. The effectiveness of the proposed approach is illustrated using a nonlinear limit cycle modeling problem.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Fuzzy Systems
Editors Anon
PublisherIEEE
Pages835-841
Number of pages7
Volume2
StatePublished - 1996
EventProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA
Duration: Sep 8 1996Sep 11 1996

Other

OtherProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3)
CityNew Orleans, LA, USA
Period9/8/969/11/96

Fingerprint

Model Reduction
Fuzzy rules
Singular value decomposition
Fuzzy Model
Data structures
Orthogonal Transformation
Curse of Dimensionality
Rule Base
Data Modeling
High-dimensional Data
Fuzzy Rules
Limit Cycle
Modeling
Strategy

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Software
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Yen, J., & Wang, L. (1996). SVD-based fuzzy model reduction strategy. In Anon (Ed.), IEEE International Conference on Fuzzy Systems (Vol. 2, pp. 835-841). IEEE.
Yen, J. ; Wang, L. / SVD-based fuzzy model reduction strategy. IEEE International Conference on Fuzzy Systems. editor / Anon. Vol. 2 IEEE, 1996. pp. 835-841
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Yen, J & Wang, L 1996, SVD-based fuzzy model reduction strategy. in Anon (ed.), IEEE International Conference on Fuzzy Systems. vol. 2, IEEE, pp. 835-841, Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3), New Orleans, LA, USA, 9/8/96.

SVD-based fuzzy model reduction strategy. / Yen, J.; Wang, L.

IEEE International Conference on Fuzzy Systems. ed. / Anon. Vol. 2 IEEE, 1996. p. 835-841.

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

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Yen J, Wang L. SVD-based fuzzy model reduction strategy. In Anon, editor, IEEE International Conference on Fuzzy Systems. Vol. 2. IEEE. 1996. p. 835-841