NDLI: A Relation Decision System and its Properties

Content Provider	IEEE Xplore Digital Library
Author	Chang-Zhong Wang Cong-Xin Wu De-Gang Chen
Copyright Year	2006
Description	Author affiliation: Dept. of Math., Harbin Inst. of Technol. (Chang-Zhong Wang; Cong-Xin Wu)
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
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2257
Ending Page	2262
File Size	216600
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258669
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Set theory Rough sets Mathematics Data mining Information systems Fuzzy sets Physics Machine learning Cybernetics relation decision systems binary relations generalized rough sets lower approximation
Content Type	Text
Resource Type	Article

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