A survey on rough set theory and applications

被引：64
作者：
Wang, Guo-Yin [1 ]
Yao, Yi-Yu [2 ]
Yu, Hong [1 ,2 ]
机构：
[1] Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications
[2] Department of Computer Science, University of Regina, Regina, SK
来源：
Jisuanji Xuebao/Chinese Journal of Computers | 2009年 / 32卷 / 07期
关键词：
Formal concept analysis; Fuzzy sets; Granular computing; Intelligent information processing; Knowledge spaces; Rough sets;
D O I：
10.3724/SP.J.1016.2009.01229
中图分类号：
学科分类号：
摘要：
This paper presents a framework for a systematic study of the rough set theory. Various views and interpretations of the theory and different approaches to study the theory are discussed. The relationships between the rough sets and other theories, such as fuzzy sets, evidence theory, granular computing, formal concept analysis, knowledge spaces, etc., are examined. The paper also reviews recent theoretic studies and applications of rough sets and points out future research directions.
引用
收藏
页码：1229 / 1246
页数：17
相关论文
共 153 条
[1]  
Pawlak Z., Rough set, International Journal of Computer and Information Sciences, 11, pp. 341-356, (1982)
[2]  
Chan C.C., Grzymala B.J.W., Ziarko W.P., Rough sets and current trends in computing, Proceedings of the 6th International Conference, RSCTC 2008, (2008)
[3]  
An A., Stefanowski J., Ramanna S., Butz C.J., Pedrycz W., Wang G.Y., Et al., Rough sets, fuzzy sets, data mining and granular computing, Proceedings of the 11th International Conference, RSFDGrC 2007, (2007)
[4]  
Wang G.Y., Li T.R., Grzymala-Busse J., Miao D.Q., Skowron A., Yao Y.Y., Rough sets and knowledge technology, Proceedings of the RSKT 2008, (2008)
[5]  
Xie K.M., Chen Z.H., Xie G., Lin T.Y., BGrC for superheated steam temperature system modeling in power plant, Proceedings of the 2006 IEEE International Conference on Granular Computing, pp. 708-711, (2006)
[6]  
Valdes J.J., Romero E., Gonzalez R., Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to geophysical prospecting neural networks, Proceedings of the IJCNN 2007, pp. 160-165, (2007)
[7]  
Ni Y.-C., Yang J.-G., Lv Z.-J., Raw cotton yarn tenacity's rule extraction based on Rough Set theory, Progress in Textile Science and Technology, 6, pp. 65-66, (2006)
[8]  
Nguyen T.T., Adaptive classifier construction: An approach to handwritten digit recognition, Proceedings of the RSCTC 2002, pp. 578-585, (2002)
[9]  
Chen Z.-C., Zhang F., Jiang D.-Z., Ni L.-L., Wang H.-Y., The filtering method for X-ray digital image of chest based on multi-resolution and rough set, Chinese Journal of Biomedical Engineering, 23, 6, pp. 486-489, (2004)
[10]  
Pang F.-H., Pang Z.-L., Du R.-Q., Assessment on rough-set theory for lake ecosystem health index, Journal of Biomathematics, 23, 2, pp. 337-344, (2008)
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