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Fuzzy symmetric threshold functions and applications

Edward T. Lee (School of Business and Technology, National University, San Diego, CA, USA)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 April 2003

251

Abstract

A fuzzy symmetric threshold (ST) function is defined to be a fuzzy set over the set of functions. All ST functions have full memberships in this fuzzy set. For n variables, there are (2n+2) ST functions. A distance measure between a nonsymmetric threshold function and the set of all ST functions is defined and investigated. An explicit expression for the membership function of a fuzzy ST function is defined through the use of this distance measure. An algorithm for obtaining this distance measure is presented with illustrative examples. It is also shown that any function and its complement always have the same grade of membership in the class of fuzzy ST functions. Applications to concise function representation and simple function implementation are also presented with examples. In addition, most inseparable unsymmetric functions are defined and investigated. Fuzzy ST functions are relevant to the development of practical applications of fuzzy methods and might contribute to the state of the art in the implementations of fuzzy methods in the areas requiring utilization of ST functions.

Keywords

Citation

Lee, E.T. (2003), "Fuzzy symmetric threshold functions and applications", Kybernetes, Vol. 32 No. 3, pp. 276-288. https://doi.org/10.1108/03684920310458548

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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