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Fuzzy logic deduction with crisp observations

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Abstract

This paper presents an approach to approximate reasoning over a set of IF-THEN rules called fuzzy logic deduction. It understands IF-THEN rules as linguistically expressed logical implications and interprets them inside formal logical theory. Methodology and some properties are presented.

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Authors and Affiliations

  1. University of Ostrava, Institute for Research and Applications of Fuzzy Modeling, 30. dubna 22, 701 03, Ostrava 1, Czech Republic

    A. Dvořák & V. Novák

Authors
  1. A. Dvořák
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  2. V. Novák
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Corresponding author

Correspondence to A. Dvořák.

Additional information

This paper has been supported by the Grant A1187901/99 of the GA AV ČR and project W-00-016 of the Cz-US scientific cooperation.

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Dvořák, A., Novák, V. Fuzzy logic deduction with crisp observations. Soft Computing 8, 256–263 (2004). https://doi.org/10.1007/s00500-003-0269-z

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  • DOI: https://doi.org/10.1007/s00500-003-0269-z

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