Approximate Accuracy Approaches to Attribute Reduction for Information Systems. (30th April 2014)

• Record Type: Journal Article
• Authors: Liu, Deshan; Wang, Dapeng; Yan, Deqin; Sang, Yu
• Other Names: Wang Jianzhou Academic Editor.
• Is Part Of: Abstract and applied analysis. Volume 2014(2014)
• Publication Date: 2014-04-30
• Subjects: Mathematical analysis -- Periodicals; Mathematical analysis; Applied Mathematics; Mathematical Analysis; Periodicals; 515.05
• DOI: 10.1155/2014/382967
• Languages: English
• ISSNs: 1085-3375

Abstract

Abstract : The key problem for attribute reduction to information systems is how to evaluate the importance of an attribute. The algorithms are challenged by the variety of data forms in information system. Based on rough sets theory we present a new approach to attribute reduction for incomplete information systems and fuzzy valued information systems. In order to evaluate the importance of an attribute effectively, a novel algorithm with rigorous theorem is proposed. Experiments show the effect of proposed algorithm.