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  2018, Vol. 31 Issue (9): 797-808    DOI: 10.16451/j.cnki.issn1003-6059.201809003
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Attribute Reduction of Covering Decision Information System Based on Evidence Theory
ZHANG Yanlan1,3,4 , LI Changqing2
1.School of Computer Science and Engineering, Minnan Normal University, Zhangzhou 363000
2.School of Mathematics and Statistics, Minnan Normal University, Zhangzhou 363000
3.Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000
4.Key Laboratory of Granular Computing, Minnan Normal University, Zhangzhou 363000

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Abstract  

The attribute reduction of covering decision information systems is one of the most important problems of the rough set theory. In this paper, the decisions of covering decision information systems are characterized by coverings, and attribute reductions of the covering decision information systems are explored. The belief and plausibility functions from the evidence theory are employed to characterize attribute reductions in the covering decision information system. By plausibility function values of decision classes, the definitions of significance and relative significance of coverings are also developed. Then, an attribute reduction algorithm based on the evidence theory is proposed in the covering decision information system, and an example is adopted to illustrate the validity of the propose algorithm.

Key wordsCovering Decision Information System      Attribute Reduction      Evidence Theory      Covering Rough Set     
Received: 21 November 2017     
ZTFLH: TP 18  
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ZHANG Yanlan
LI Changqing
Cite this article:   
ZHANG Yanlan,LI Changqing. Attribute Reduction of Covering Decision Information System Based on Evidence Theory[J]. , 2018, 31(9): 797-808.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201809003      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2018/V31/I9/797
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