Constructing optimal fuzzy models using statistical information criteria

John Yen, Liang Wang

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

1 Citation (Scopus)

Abstract

In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optimality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.

Original languageEnglish (US)
Title of host publicationMexico-USA Collaboration in Intelligent Systems Technologies
Editors Anon
PublisherIEEE
Pages394-402
Number of pages9
StatePublished - 1996
EventProceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS - Cancun, Mex
Duration: Nov 12 1996Nov 15 1996

Other

OtherProceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS
CityCancun, Mex
Period11/12/9611/15/96

Fingerprint

Singular value decomposition
Nonlinear systems
Statistical Models

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Yen, J., & Wang, L. (1996). Constructing optimal fuzzy models using statistical information criteria. In Anon (Ed.), Mexico-USA Collaboration in Intelligent Systems Technologies (pp. 394-402). IEEE.
Yen, John ; Wang, Liang. / Constructing optimal fuzzy models using statistical information criteria. Mexico-USA Collaboration in Intelligent Systems Technologies. editor / Anon. IEEE, 1996. pp. 394-402
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title = "Constructing optimal fuzzy models using statistical information criteria",
abstract = "In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optimality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.",
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booktitle = "Mexico-USA Collaboration in Intelligent Systems Technologies",
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Yen, J & Wang, L 1996, Constructing optimal fuzzy models using statistical information criteria. in Anon (ed.), Mexico-USA Collaboration in Intelligent Systems Technologies. IEEE, pp. 394-402, Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS, Cancun, Mex, 11/12/96.

Constructing optimal fuzzy models using statistical information criteria. / Yen, John; Wang, Liang.

Mexico-USA Collaboration in Intelligent Systems Technologies. ed. / Anon. IEEE, 1996. p. 394-402.

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

TY - GEN

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AB - In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optimality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.

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Yen J, Wang L. Constructing optimal fuzzy models using statistical information criteria. In Anon, editor, Mexico-USA Collaboration in Intelligent Systems Technologies. IEEE. 1996. p. 394-402