Title :
Rough Sets and Zadeh´s Extension Principles
Author :
Liu, Guilong ; Song, Xiaoli ; Zhao, Xiaoxia
Author_Institution :
Beijing Language & Culture Univ., Beijing
Abstract :
The notion of a rough set was originally proposed by Pawlak (1982). Later on, there is a fast growing interest in this theory. In this paper we present a more general approach to the generalization of rough sets. Specifically, generalized formulation has been studied by using a binary relation on two universes without any restriction on the cardinality. The algebraic properties of generalized rough sets are given, and the extension principle for crisp sets is explained as the upper approximations of rough sets. The relationship between the extension principle for fuzzy sets and the upper approximations of fuzzy rough sets is investigated.
Keywords :
approximation theory; fuzzy set theory; rough set theory; Zadeh extension principle; algebraic property; approximation theory; fuzzy rough set theory; Data mining; Databases; Fuzzy set theory; Fuzzy sets; Pattern recognition; Rough sets; Set theory;
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
DOI :
10.1109/GrC.2007.19