Piecewise constructive approach to constructing fuzzy systems

Yanqing Zhang; Ming Ma; Abraham Kandel

doi:10.1117/12.342885

22 March 1999 Piecewise constructive approach to constructing fuzzy systems

Yanqing Zhang, Ming Ma, Abraham Kandel

Proceedings Volume 3722, Applications and Science of Computational Intelligence II; (1999) https://doi.org/10.1117/12.342885
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Yanqing Zhang, Ming Ma, and Abraham Kandel "Piecewise constructive approach to constructing fuzzy systems", Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); https://doi.org/10.1117/12.342885

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