DocumentCode
2892914
Title
A Relation Decision System and its Properties
Author
Wang, Chang-zhong ; Wu, Cong-Xin ; Chen, De-Gang
Author_Institution
Dept. of Math., Harbin Inst. of Technol.
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
2257
Lastpage
2262
Abstract
The generalized rough set theory based on binary relations is the improvement of Pawlak´s rough set theory to deal with more complex practical problems which the latter one can not easily handle. For a given generalized approximation space, there are two traditional forms of definition of the lower approximation, it is important to reveal the inner relationship between the two definition forms. On the other hand, in many cases, people have to make decisions in practical problems based on binary relations. Therefore, it is also necessary to generalize a decision system in Pawlak´ rough set theory. In this paper, the concept of a relation decision system is firstly introduced by generalizing a decision system in Pawlak´ rough set theory. By the revisions of the traditional concepts, this paper then presents the essential relationship between the two forms of definition of the lower approximation and obtains some useful properties for a relation decision system
Keywords
decision making; equivalence classes; rough set theory; approximation space; binary relation; relation decision system; rough set theory; Cybernetics; Data mining; Fuzzy sets; Information systems; Machine learning; Mathematics; Physics; Rough sets; Set theory; Rough sets; binary relations; generalized rough sets; lower approximation; relation decision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258669
Filename
4028440
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