Por favor, use este identificador para citar o enlazar este ítem: https://doi.org/10.1016/j.fss.2018.05.014

Título: FTCLogic: Fuzzy Temporal Constraint Logic
Fecha de publicación: 26-feb-2019
Editorial: Elsevier
Cita bibliográfica: Fuzzy Sets and Systems, Vol. 363, 2019, pp. 84-212
ISSN: Print: 0165-0114
Materias relacionadas: CDU::6 - Ciencias aplicadas
Palabras clave: Non classical logics
Fuzzy constraint satisfaction
Possibility theory
Temporal reasoning
Approximate reasoning
Fuzzy inference systems
Fuzzy relations
Resumen: In this paper we present FTCLogic, a formal first-order logic that can manage fuzzy temporal constraints between variables efficiently. In this logic, the use of explicit temporal axioms is unnecessary, and therefore the deduction mechanism doesn’t slow down for this reason. FTCLogic has an immediate precedent: the Extended Fuzzy Temporal Constraint Logic or EFTCL. However, while EFTCL is based on Timed Possibilistic Logic, FTCLogic uses the Possibilistic Logic to formulate an original semantics according to its syntax. In fact, FTCLogic defines both syntax and semantics from a powerful combination of two formalisms: the Possibilistic Logic and the Fuzzy Temporal Constraints Networks. FTCLogic has provided the basis for the creation of a fuzzy temporal PROLOG: PROLogic, which is implemented through Haskell, and which is currently undergoing evaluation.
Autor/es principal/es: Cárdenas Viedma, María Antonia
Marín, R.
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Ingeniería de la Información y las Comunicaciones
Versión del editor: https://www.sciencedirect.com/science/article/pii/S0165011418302902?via%3Dihub
URI: http://hdl.handle.net/10201/141734
DOI: https://doi.org/10.1016/j.fss.2018.05.014
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 29
Derechos: info:eu-repo/semantics/embargoedAccess
Descripción: © 2018 Elsevier B.V. This document is the Published version of a Published Work that appeared in final form in Fuzzy Sets and Systems. To access the final edited and published work see https://doi.org/10.1016/j.fss.2018.05.014
Aparece en las colecciones:Artículos: Ingeniería de la Información y las Comunicaciones

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