| Title of paper:
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Intuitionistic fuzzy Prolog
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| Author(s):
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| Krassimir Atanassov
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| Institute for Microsystems, Sofia, Bulgaria
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| (current: krat@bas.bg)
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| Christo Georgiev
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| Department of Computer Science, Higher Institute of Mechanical and Electrical Engineering, Varna, Bulgaria
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| Published in:
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Fuzzy Sets and Systems, 53 (1993) pp 121-128
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| Download:
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 PDF (444 Kb, Info)
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| Abstract:
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A logic programming system which uses a theory of intuitionistic fuzzy sets to model various forms of uncertainty is presented. To represent uncertainty of facts and rules, a pair of two different real numbers (degree of truth and degree of falsity) are associated. The problem of propagating uncertainty through logical inference and various models of interpretation are considered. The framework discussed allows knowledge representation and inference under uncerta inty in the form of rules suitable for expert systems.
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| Keywords:
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Expert systems, Intuitionistic fuzzy logic, Intuitionistic fuzzy sets, Logic programming.
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| References:
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