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Logic-Motivated Choice of Fuzzy Logic Operators

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Marcadores Sociales
Logic-Motivated Choice of Fuzzy Logic Operators
Id. 46245160
Idioma inglés
Titulo Logic-Motivated Choice of Fuzzy Logic Operators
Autor(es) Pratit Santiprabhob Hung
Witold Pedrycz
Vladik Kreinovich
Localización http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.9764
Versión 1.0
Estado Final
Descripción Many different "and"- and "or"-operations have been proposed for use in fuzzy logic; it is therefore important to select, for each particular application, the operations which are the best for this particular application. Several papers discuss the optimal choice of "and"- and "or"-operations for fuzzy control, when the main criterion is to get the stablest control (or the smoothest or the most robust or the fastestto -compute). In reasoning applications, however, it is more appropriate to select operations which are the best in reflecting human reasoning, i.e., operations which are "the most logical". In this paper, we explain how we can use logic motivations to select fuzzy logic operations, and show the consequences of this choice. As one of the unexpected consequences, we get a surprising relation with the entropy techniques, well known in probabilistic approach to uncertainty. Technical area of the paper: T5. Keywords: fuzzy logic, linear logic, maximum entropy.
Tipo application/postscript
Palabras clave fuzzy logic
Tipo de recurso Texto Narrativo
Tipo de Interactividad Expositivo
Nivel de Interactividad muy bajo
Audiencia Estudiante
Profesor
Autor
Estructura Atomic
Coste no
Copyright
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Formatos application/postscript
Requerimientos técnicos Browser: Any
Relación [IsBasedOn] http://www.cs.utep.edu/vladik/2001/tr01-11.ps.gz
[References] 10.1.1.137.5341
[References] 10.1.1.21.8791
[References] 10.1.1.13.5991
Fecha de contribución 22-jul-2009
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