DocumentCode
693107
Title
Generalized variable precision probabilistic rough set
Author
Tsang, E.C.C. ; Bing-Zhen Sun
Author_Institution
Fac. ofInformation Technol., Macau Univ. of Sci. & Technol., Taipa, China
Volume
02
fYear
2013
fDate
14-17 July 2013
Firstpage
670
Lastpage
675
Abstract
In this paper, a new generalization of Pawlak rough set, the generalized variable precision probability rough set, is studied. Several properties of generalized variable precision probability rough set are discussed and the relationship between the proposed model and the existing rough set model is also examined. At the same time, we define the concept of the approximation dependent of attributes in generalized probability approximation space. Then we study the attribute reduction in generalized probability approximation space by using the concept of approximation dependent.
Keywords
approximation theory; probability; rough set theory; Pawlak rough set generalization; approximation attribute dependent; attribute reduction; generalized probability approximation space; generalized variable precision probabilistic rough set model; Abstracts; Approximation methods; Probabilistic logic; Xenon; Approximation reduction; Generalized variable probability rough set; Rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location
Tianjin
Type
conf
DOI
10.1109/ICMLC.2013.6890374
Filename
6890374
Link To Document