An inference engine based on fuzzy logic for uncertain and imprecise expert reasoning

"This paper addresses the development and computational implementation of an inference engine based on a full fuzzy logic, excluding only imprecise quantifiers, for handling uncertainty and imprecision in rule-based expert systems. The logical model exploits some connectives of Lukasiewicz’s in...

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Detalles Bibliográficos
Autores principales: D'Aquila, Raimundo, Crespo Crespo, Cecilia, Mate, J. L., Pazos, J.
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2018
Materias:
RAZONAMIENTO
INCERTIDUMBRE
INFERENCIA
SISTEMAS EXPERTOS
LOGICA DIFUSA
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1298
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
Descripción
Sumario:"This paper addresses the development and computational implementation of an inference engine based on a full fuzzy logic, excluding only imprecise quantifiers, for handling uncertainty and imprecision in rule-based expert systems. The logical model exploits some connectives of Lukasiewicz’s infinite multi-valued logic and is mainly founded on the work of L.A. Zadeh and J.F. Baldwin. As it is oriented to expert systems, the inference engine was developed to be as knowledge domain independent as possible, while having satisfactory computational efficiency (...)."

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