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Descripción
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| Abstract¿Fuzzy Logic Programming aims at combining the advantages of Logic Programming (such as readability, conciseness, and a formally well-de¿ned semantics) with the advantages of Fuzzy Logic (representability of imprecise and uncertain knowledge). In this paper, we present the RFuzzy framework for Fuzzy Logic Programming. It has three main advantages compared to other Fuzzy Logic Programming frameworks: RFuzzy provides constructive answers (it responds with direct results instead of constraints), models multi-adjoint logic, and allows the user to combine fuzzy and crisp reasoning in the same program. It provides some extensions such as default values (to represent missing information) and typed predicates. The truth values of predicates are de¿ned via facts, rules, and functions. We describe the implementation of our framework and its operational semantics. RFuzzy has been implemented and is ready for being used. | |
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Internacional
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Si |
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Nombre congreso
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NAFIPS 2009. Annual Meeting of the North American Fuzzy Information Processing Society Annual Conference. |
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Tipo de participación
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960 |
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Lugar del congreso
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Cincinnati, Ohio, USA |
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Revisores
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Si |
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ISBN o ISSN
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978-1-4244-4575-2 |
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DOI
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10.1109/NAFIPS.2009.5156427 |
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Fecha inicio congreso
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14/06/2009 |
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Fecha fin congreso
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17/06/2009 |
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Desde la página
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1 |
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Hasta la página
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6 |
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Título de las actas
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Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American Fuzzy Information Processing Society Annual Conference |