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Issue title: Rough Sets and Knowledge Technology (RSKT 2010)
Article type: Research Article
Authors: Wang, GuoYin; | Hu, Jun
Affiliations: Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P. R. China | Institute of Electronic Information Technology, Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, P. R. China. wanggy@cqupt.edu.cn | Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P. R. China. hujun@cqupt.edu.cn
Note: [] Address for correspondence: Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P. R. China, 400065
Abstract: The concept of the complement of a covering is introduced, and then the extended space of a covering approximation space is induced based on it. Generally, the extended space of a covering approximation space generates a bigger covering lower approximation or smaller covering upper approximation than itself. Through extending each covering of a covering decision system, the classification ability of each covering may be improved. Thus, a heuristic reduction algorithm is developed to eliminate some coverings in a covering decision system without decreasing the classification ability of the system for decision. Theoretical analysis and experimental results indicate that this algorithm can often get smaller reduction than other algorithms.
Keywords: covering, rough set, covering decision system, attribute reduction
DOI: 10.3233/FI-2012-651
Journal: Fundamenta Informaticae, vol. 115, no. 2-3, pp. 219-232, 2012
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