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The rough set theory and applications

Chengdong Wu (School of Information and Control Engineering, Shenyang Architectural and Civil Engineering University, Shenyang, Liaoning, People's Republic of China)
Yong Yue (Department of Computing and Information Systems, University of Luton, Luton, UK)
Mengxin Li (School of Information and Control Engineering, Shenyang Architectural and Civil Engineering University, Shenyang, Liaoning, People's Republic of China)
Osei Adjei (Department of Computing and Information Systems, University of Luton, Luton, UK)

Engineering Computations

ISSN: 0264-4401

Article publication date: 1 July 2004

Abstract

This paper presents a comprehensive review of the available literature on applications of the rough set theory. Concepts of the rough set theory are discussed for approximation, dependence and reduction of attributes, decision tables and decision rules. The applications of rough sets are discussed in pattern recognition, information processing, business and finance, industry, environment engineering, medical diagnosis and medical data analysis, system fault diagnosis and monitoring and intelligent control systems. Development trends and future efforts are outlined. An extensive list of references is also provided to encourage interested readers to pursue further investigations.

Keywords

Citation

Wu, C., Yue, Y., Li, M. and Adjei, O. (2004), "The rough set theory and applications", Engineering Computations, Vol. 21 No. 5, pp. 488-511. https://doi.org/10.1108/02644400410545092

Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited