Title :
A New Method of Ascertaining Attribute Weight Based on Rough Sets Theory
Author :
Bao Xinzhong ; Liu Yingwen
Author_Institution :
Sch. of Econ. & Manage., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
Attribute importance represented by rough set is studied deeply. Aiming at the shortcomings of existing methods of attribute weight assignment based on rough set, by considering both the overall significance degree and the individual significance degree of each attribute in the conditional attributes, a new method of attribute weight assignment based on rough set is proposed, which can improve the ability of generalization and interpretation.
Keywords :
rough set theory; ascertaining attribute weight assignment method; individual significance degree; overall significance degree; rough set theory; Conference management; Decision making; Electronic commerce; Entropy; Expert systems; Rough sets; Statistics; Technology management; attribute significance degree; decision table; rough sets; weight;
Conference_Titel :
Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3661-3
DOI :
10.1109/ECBI.2009.129
