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Proceedings Paper

Piecewise constructive approach to constructing fuzzy systems
Author(s): Yanqing Zhang; Ming Ma; Abraham Kandel
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Paper Abstract

By overcoming weaknesses of the linear fuzzy system, our new piecewise nonlinear constructive method can effectively construct a reasonable fuzzy system with the near-optimal number of fuzzy rules. In addition, the new approach is capable of generating a commonly used fuzzy rule base with both meaningful input and output membership functions. The normal-fuzzy-reasoning-based nonlinear constructive approach provides us with a powerful tool to model a normal fuzzy system piece by piece (i.e. interval by interval) for both given data and any required accuracy. Additionally, the piecewise construct approach is a useful tool to discover meaningful fuzzy knowledge from raw data.

Paper Details

Date Published: 22 March 1999
PDF: 9 pages
Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342885
Show Author Affiliations
Yanqing Zhang, Georgia State Univ. (United States)
Ming Ma, Univ. of Toronto (United States)
Abraham Kandel, Univ. of South Florida (United States)

Published in SPIE Proceedings Vol. 3722:
Applications and Science of Computational Intelligence II
Kevin L. Priddy; Paul E. Keller; David B. Fogel; James C. Bezdek, Editor(s)

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