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.
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1 April 2003
Research Article|
April 01 2003
Fuzzy symmetric threshold functions and applications
Edward T. Lee
Edward T. Lee
School of Business and Technology, National University, San Diego, CA, USA
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Publisher: Emerald Publishing
Online ISSN: 1758-7883
Print ISSN: 0368-492X
© MCB UP Limited
2003
Kybernetes (2003) 32 (3): 276–288.
Citation
Lee ET (2003), "Fuzzy symmetric threshold functions and applications". Kybernetes, Vol. 32 No. 3 pp. 276–288, doi: https://doi.org/10.1108/03684920310458548
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