English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/131367
Compartir / Impacto:
Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL

Belief functions on MV-algebras of fuzzy sets: An overview

AutorFlaminio, Tommaso; Godo, Lluis; Kroupa, Tomas
Palabras claveBelief functions
Fuzzy sets
Fecha de publicación2014
CitaciónStudies in Fuzziness and Soft Computing 310: 173- 200 (2014)
ResumenBelief functions are the measure theoretical objects Dempster-Shafer evidence theory is based on. They are in fact totally monotone capacities, and can be regarded as a special class of measures of uncertainty used to model an agent's degrees of belief in the occurrence of a set of events by taking into account different bodies of evidence that support those beliefs. In this chapter we present two main approaches to extending belief functions on Boolean algebras of events to MV-algebras of events, modelled as fuzzy sets, and we discuss several properties of these generalized measures. In particular we deal with the normalization and soft-normalization problems, and on a generalization of Dempster's rule of combination. © 2014 Springer International Publishing Switzerland.
Identificadoresdoi: 10.1007/978-3-319-03155-2-7
issn: 1434-9922
isbn: 978-331903154-5
Aparece en las colecciones: (IIIA) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
SFSC310-173-200.pdf455,46 kBAdobe PDFVista previa
Mostrar el registro completo

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