Share Email Print

Proceedings Paper

System for automatic generation of fuzzy rules and membership functions
Author(s): Joseph Thomas Yestrebsky
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper we wish to present an algorithmic technique for the generation of Fuzzy system rule bases and composite membership functions. This technique is based on data taken from a representative system either under classical control or the control of a human operator (i.e., an expert). The algorithm may be automated as a computer program which accepts control system input-output pairs. Such an automated process could ease Fuzzy control system design and implementation. Such an automated process may be used to construct Fuzzy systems which can 'learn'.

Paper Details

Date Published: 20 August 1992
PDF: 7 pages
Proc. SPIE 1706, Adaptive and Learning Systems, (20 August 1992); doi: 10.1117/12.139956
Show Author Affiliations
Joseph Thomas Yestrebsky, Harris Corp. (United States)

Published in SPIE Proceedings Vol. 1706:
Adaptive and Learning Systems
Firooz A. Sadjadi, Editor(s)

© SPIE. Terms of Use
Back to Top