English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/154753
COMPARTIR / IMPACTO:
Estadísticas
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Título

Fuzzy neighborhood operators based on fuzzy coverings

AutorD'eer, Lynn; Cornelis, Chris; Godo, Lluis
Palabras claveFuzzy coverings
Fuzzy neighborhood operators
Rough sets
Fecha de publicación2017
EditorElsevier
CitaciónFuzzy Sets and Systems 312: 17- 35 (2017)
ResumenIn many data mining processes, neighborhood operators play an important role as they are generalizations of equivalence classes which were used in the original rough set model of Pawlak. In this article, we introduce the notion of fuzzy neighborhood system of an object based on a given fuzzy covering, as well as the notion of the fuzzy minimal and maximal descriptions of an object. Moreover, we extend the definition of four covering-based neighborhood operators as well as six derived coverings discussed by Yao and Yao to the fuzzy setting. We combine these fuzzy neighborhood operators and fuzzy coverings and prove that only sixteen different fuzzy neighborhood operators are obtained. Moreover, we study the partial order relations between those sixteen operators. © 2016 Elsevier B.V.
URIhttp://hdl.handle.net/10261/154753
DOI10.1016/j.fss.2016.04.003
Identificadoresdoi: 10.1016/j.fss.2016.04.003
issn: 0165-0114
Aparece en las colecciones: (IIIA) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
FSS2017_312pp17-35.pdf193,4 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 

Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.