Constructing optimal fuzzy models using statistical information criteria

J. Yen, Wang Liang Wang

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

Abstract

In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optiniality 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 publicationProceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies
EditorsRogelio Soto, Jose M. Sanchez, Francisco J. Cantu-Ortiz, Moraima Campbell
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages394-402
Number of pages9
ISBN (Electronic)9682994373, 9789682994371
StatePublished - 1996
Event1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996 - Cancun, Mexico
Duration: Nov 12 1996Nov 15 1996

Publication series

NameProceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies

Conference

Conference1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996
Country/TerritoryMexico
CityCancun
Period11/12/9611/15/96

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Information Systems

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