System for automatic generation of fuzzy rules and membership functions

Joseph Thomas Yestrebsky

doi:10.1117/12.139956

20 August 1992 System for automatic generation of fuzzy rules and membership functions

Joseph Thomas Yestrebsky

Proceedings Volume 1706, Adaptive and Learning Systems; (1992) https://doi.org/10.1117/12.139956
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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'.

Citation Download Citation

Joseph Thomas Yestrebsky "System for automatic generation of fuzzy rules and membership functions", Proc. SPIE 1706, Adaptive and Learning Systems, (20 August 1992); https://doi.org/10.1117/12.139956

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