Principal components, B-splines, and fuzzy system reduction

John Yen, Reza Langari, Liang Wang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper proposes to use the method of principal components to reduce the dimensionality of input space and the B-splines to represent the membership functions of input variables. A model reduction strategy, which is based on Johansen's optimality theorem, also suggested. The utility of this approach is illustrated using a fuzzy system modeling example.

Original languageEnglish (US)
Pages (from-to)561-572
Number of pages12
JournalInternational Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
Volume4
Issue number6
DOIs
StatePublished - Jan 1 1996

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Artificial Intelligence

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