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Issue:Intuitionistic fuzzy logical programming. Syntax and procedural semantics: Difference between revisions

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Revision as of 19:19, 3 June 2009

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Title of paper: Intuitionistic fuzzy logical programming. Syntax and procedural semantics
Author(s):
Kalin Georgiev
Centre For Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria, “Acad. G. Bontchev” str, bl. 105
k.georgiev@clbme.bas.bg
Trifon Trifonov
Centre For Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria, “Acad. G. Bontchev” str, bl. 105
trifon@clbme.bas.bg
Presented at: 1st International Workshop on Intuitionistic Fuzzy Sets, 22 September 2005, Banská Bystrica, Slovakia
Published in: "Notes on IFS", Volume 11 (2005), Number 6, pp 29-34
Download:  PDF (157  Kb, File info)
Abstract: This article opens the way for an implementation of Intuitionistic Fuzzy Logical Programming (IFLP) based on Intuitionistic Fuzzy Sets (IFS), as defined by Atanassov [1]. The proposed system suggests defining intuitionistic fuzzy certainty measures over programs clauses – facts and rules. An implementation of an IFL system would be a convenient tool for development of expert systems using uncertain or incomplete information and expert knowledge.
Keywords: Intuitionistic fuzzy logic, Fuzzy Prolog
References:
  1. Atanassov, K. Intuitionistic Fuzzy Sets. Springer-Physica Verlag, Heidelberg, 1999.
  2. Claudio Vaucheret, Sergio Guadarrama, Susana Muñoz, Fuzzy Prolog: A simple implementation using CLP (R), International Conference in Logic Programming, ICLP 2002. Springer. LNCS 2401, pp. 469. Copenague, Denmark.
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