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Title of paper:
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Intuitionistic fuzzy logical programming. Syntax and procedural semantics
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Author(s):
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Kalin Georgiev
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Centre For Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria, “Acad. G. Bontchev” str, bl. 105
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k.georgiev@clbme.bas.bg
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Trifon Trifonov
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Centre For Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria, “Acad. G. Bontchev” str, bl. 105
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trifon@clbme.bas.bg
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Presented at:
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1st International Workshop on Intuitionistic Fuzzy Sets, 22 September 2005, Banská Bystrica, Slovakia
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Published in:
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"Notes on IFS", Volume 11 (2005), Number 6, pp 29-34
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Download:
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PDF (157 Kb, File info)
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Abstract:
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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.
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Keywords:
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Intuitionistic fuzzy logic, Fuzzy Prolog
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References:
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- 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.
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Citations:
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