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Optimization Method for the Selection of the Appropriate Fuzzy Implication

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Abstract

In this paper, we introduce a method allowing us to choose the most suitable fuzzy implication in an inference system application. We introduce also a similarity measure, which we call degree of sameness of two fuzzy implications in an inference system application.

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Authors and Affiliations

  1. Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece

    B. K. Papadopoulos, G. Trasanides & A. G. Hatzimichailidis

Authors
  1. B. K. Papadopoulos
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  2. G. Trasanides
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  3. A. G. Hatzimichailidis
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Corresponding author

Correspondence to B. K. Papadopoulos.

Additional information

Communicated by P.M. Pardalos.

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Papadopoulos, B.K., Trasanides, G. & Hatzimichailidis, A.G. Optimization Method for the Selection of the Appropriate Fuzzy Implication. J Optim Theory Appl 134, 135–141 (2007). https://doi.org/10.1007/s10957-007-9246-5

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  • DOI: https://doi.org/10.1007/s10957-007-9246-5

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