DocumentCode
693109
Title
The topological structure in parameterized rough sets
Author
Tsang, E.C.C. ; Suyun Zhao
Author_Institution
Macau Univ. of Sci. & Technol., Taipa, China
Volume
02
fYear
2013
fDate
14-17 July 2013
Firstpage
687
Lastpage
692
Abstract
In this paper, by strict mathematical reasoning, we discover the relation between the parameters and the reducts in parameterized rough reduction. This relation, named the nested reduction, shows that the reducts can act as a nested structure with the monotonically increasing parameter. Furthermore, we present a systematic theoretical framework which gives some basic principles to construct the nested structure in parameterized rough reduction. What is more, some specific parameterized rough set models, in which the nested reduction can be constructed, are pointed out by strict mathematics reasoning. Based on the nested reduction, we design several quick algorithms to find a different reduct when one reduct is already given. Here ´different´ means the reducts obtained on different parameters. All these algorithms are helpful to quickly finding a proper reduct in parameterized rough set models. Finally, the numerical experiments demonstrate the feasibility and the affectivity of the nested reduction approach.
Keywords
rough set theory; mathematics reasoning; nested reduction; parameterized rough reduction; parameterized rough sets; topological structure; Abstracts; Artificial intelligence; Bayes methods; Integrated circuits; Ionosphere; Iris; Attribute reduction; Nested structure; Parameterized rough sets; Variable precision;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location
Tianjin
Type
conf
DOI
10.1109/ICMLC.2013.6890377
Filename
6890377
Link To Document