Theoretical study on a new information entropy and its use in attribute reduction

Fourth IEEE Conference on Cognitive Informatics 2005, ICCI 2005

Volumn , Issue , 2005, Pages 73-79

  Luo, Ping ^a,b   He, Qing ^a   Shi, Zhongzhi ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Conditional entropy; Information entropy; Positive region; Rough set

Indexed keywords

DECISION SUPPORT SYSTEMS; INFORMATION ANALYSIS; INFORMATION THEORY; ROUGH SET THEORY;

CONDITIONAL ENTROPY; INFORMATION ENTROPY; POSITIVE REGION; SHANNON ENTROPY;

ENTROPY;

EID: 33749056616     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COGINF.2005.1532617     Document Type: Conference Paper

References (7)

1. Z.Pawlak. Rough sets. International Journal of Computer and Information Science, 11(5):341-356, 1982.
2. Z.Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer, Dordrecht, 1991.
3. D.Q.Miao and G.R.Hu. A heuristic algorithm for reduction of knowledge. Chinese Journal of Computer Research and Development, 36(6):681-684, 1999.
4. Guoyin Wang. Rough reduction in algebra view and information view. International Journal of Intelligent Systems, 18(6):679-688, 2003.
5. Guoyin Wang, Jun Zhao, Jiujiang An, and Yu Wu. Theoretical study on attribute reduction of rough set theoryxomparison of algebra and information views. In Third IEEE International Conference on Congnitive Informatics.
6. Jiye Liang, K.S.Chin, Chuangyin Dang, and Richard C.M.Yam. A new method for measuring uncertainty and fuzziness in rough set theory. International Journal of General Systems, 31(4):331-342, July 2002.
7. Jiye Liang and Zhongzhi Shi. The information entropy, rough entropy and knowledge granulation in rough set theory. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12(1):37-46, 2004.