Issue:Intuitionistic fuzzy logical programming. Syntax and procedural semantics

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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: Atanassov, K. Intuitionistic Fuzzy Sets. Springer-Physica Verlag, Heidelberg, 1999. 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. Citations: The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.