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Título

Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties

AutorD'eer, Lynn; Verbiest, Nele; Cornelis, Chris; Godo, Lluis CSIC ORCID
Palabras claveFuzzy sets
Rough sets
Hybridization
Lower and upper approximation
Implication
Conjunction
Axiomatic approach
Fecha de publicación2013
EditorSpringer Nature
CitaciónLynn DÂŽerr, Nele Verbiest, Chris Cornelis, & Lluís Godo (2013). Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties. 14th International Conference, RSFDGrC 2013 (pp. 169-179). Springer Berlin Heidelberg
ResumenEver since the first hybrid fuzzy rough set model was proposed in the early 1990’s, many researchers have focused on the definition of the lower and upper approximation of a fuzzy set by means of a fuzzy relation. In this paper, we review those proposals which generalize the logical connectives and quantifiers present in the rough set approximations by means of corresponding fuzzy logic operations. We introduce a general model which encapsulates all of these proposals, evaluate it w.r.t. a number of desirable properties, and refine the existing axiomatic approach to characterize lower and upper approximation operators.
DescripciónThis work was partially supported by the Spanish Ministry of Science and Technology under Project TIN2011-28488. Lluis Godo has been partially supported by the MINECO Project TIN2012-39348-C02-01.
URIhttp://hdl.handle.net/10261/249991
DOI10.1007/978-3-642-41218-9_18
Aparece en las colecciones: (IIIA) Comunicaciones congresos




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