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Fuzzy Prolog: a new approach using soft constraints propagation

FUZZY SETS AND SYSTEMS 2004年第1期144卷 127-150页

作者： Guadarrama, S Muñoz, S Vaucheret, C Univ Politecn Madrid Dept Intelligencia Artificial E-28660 Madrid Spain Univ Politecn Madrid Dept Lenguajes Sist Informat & Ing Software E-28660 Madrid Spain

We present a definition of a Fuzzy Prolog Language that models B([0, 1])-valued Fuzzy Logic, and subsumes former approaches because it uses a truth value representation based on a union of sub-intervals on [0, 1] and is defined using general operators that can model different logics. This extension to Prolog is implemented by interpreting fuzzy reasoning as a set of constraints that are propagated through the rules by means of aggregation operators. Declarative and procedural semantics for Fuzzy Logic programs are given and their equivalence is proven. In addition, we present the implementation of an interpreter for this conceived language using constraint logic programming over real numbers. (C) 2003 Elsevier B.V. All rights reserved.

关键词： fuzzy Prolog modeling uncertainty Fuzzy Logic programming constraint programming application implementation of fuzzy prolog

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Fuzzy Prolog: A simple general implementation using CLP(R) 9th

Fuzzy Prolog: A simple general implementation using CLP(<i>R...

引用

9th International Conference on Logic for programming, Artificial Intelligence and Reasoning

作者： Vaucheret, C Guadarrama, S Muñoz, S Univ Politecn Madrid Dept Inteligencia Artificial E-28660 Madrid Spain

ISBN: (纸本)3540000100

We present a definition of a Fuzzy Prolog Language that models interval-valued Fuzzy Logic, and subsumes former approaches because it uses a truth value representation based on a union of intervals of real numbers and it is defined using general operators that can model different logics. We give the declarative and procedural semantics for Fuzzy Logic programs. In addition, we present the implementation of an interpreter for this language conceived using CLP(R). We have incorporated uncertainty into a Prolog system in a simple way thanks to this constraints system. The implementation is based on a syntactic expansion of the source code during the Prolog compilation.

关键词： Fuzzy Prolog modeling uncertainty logic programming constraint programming application implementation of Fuzzy Prolog

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