DocumentCode
3670327
Title
Probabilistic tolerance rough set model
Author
Junhai Zhai;Bin Wan;Sufang Zhang
Author_Institution
College of Mathematics and Computer Science, Hebei University, Baoding 071002, China
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
214
Lastpage
219
Abstract
The probabilistic method have been applied to rough set theory in several forms, such as variable precision rough set model, decision-theoretic rough set model and probabilistic rough set model. All of them are extension of the original rough set model developed by Pawlak, and these models are all based on equivalence relation. In this paper, the idea of tolerance relation instead of equivalence relation is introduced into the probabilistic rough set model, and the probabilistic tolerance rough set (PTRSM) is proposed. The properties of lower approximation operator and upper approximation operator of PTRSM are investigated, and furthermore, the relations with other rough set models are also studied.
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2015 International Conference on
Type
conf
DOI
10.1109/ICWAPR.2015.7295953
Filename
7295953
Link To Document