Knowledge reduction of covering approximation space

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5540 LNCS, Issue , 2009, Pages 69-80

  Hu, Jun ^a,b   Wang, Guoyin ^a  

^a XIDIAN UNIVERSITY   (China)

^b CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Covering; Granule; Reduction; Rough sets

Indexed keywords

ABSOLUTE REDUCTION; APPROXIMATION SPACES; CLASSIFICATION ABILITY; COVERING; COVERING SPACES; GRANULE; KEY ISSUES; KNOWLEDGE REDUCTION; LOWER AND UPPER APPROXIMATIONS; REDUCED SPACE; RELATIVE REDUCTION; ROUGH SETS;

APPROXIMATION ALGORITHMS; FUZZY SETS; GRANULATION; KNOWLEDGE REPRESENTATION;

ROUGH SET THEORY;

EID: 70349798298     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02097-1_4     Document Type: Conference Paper

References (24)

1. Bonikowski, Z., Bryniarski, E., Wybraniec, U.: Extensions and Intentions in the Rough Set Theory. Information Science 107, 149-167 (1998
2. Hu, J., Wang, G.Y., Zhang, Q.H.: Uncertainty Measure of Covering Generated Rough Set. In: 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops) (WI-IATW 2006), pp. 498-504 (2006
3. Huang, B., He, X., Zhou, X.Z.: Rough Entropy Based on Generalized Rough Sets Covering Reduction. Journal of Software 15(2), 215-220 (2004) (in Chinese
4. Huang, H., Wang, G.Y., Wu, Y.: An approach for Incomplete Information Systems. In: Dasarathy, B.V. (ed.) Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI. Proceedings of SPIE, vol.5433, pp. 114-121 (2004
5. Kryszkiewicz, M.: Rough Set Approach to Incomplete Information System. Information Sciences 112, 39-49 (1998
6. Kryszkiewicz, M.: Rule in Incomplete Information Systems. Information Sciences 113, 271-292 (1999
7. Li, T.J.: Rough Approximation Operators in Covering Approximation Spaces. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., S-lowínski, R. (eds.) RSCTC 2006. LNCS, vol.4259, pp. 174-182. Springer, Heidelberg (2006
8. Mordeson, J.N.: Rough Set Theory Applied to (fuzzy) Ideal Theory. Fuzzy Sets and Systems 121, 315-324 (2001
9. Pal, S., Mitra, P.: Case generation using rough sets with fuzzy representation. IEEE Trans. On Knowledge and Data Engineering 16(3), 292-300 (2004
10. Pawlak, Z.: Rough Sets. Computer and Information Science 11, 341-356 (1982
11. Slowinski, R., Vanderpooten, D.: A Generalized Definition of Rough Approximations Based on Similarity. IEEE Tansactions on Knowledge and Data Engineering 12(2), 331-336 (2000
12. Tsang, E.C.C., Chen, D., Lee, J.W.T., Yeung, D.S.: On The Upper Approximations of Covering Generalized Rough Sets. In: Proceedings of The Third International Conference on Machine Learning and Cybernetics, Shanghai, pp. 4200-4203 (2004
13. Wang, G.Y.: Extension of Rough Set under Incomplete Information Systems. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1098-1103 (2002
14. Yang, Y., Wang, G.Y., Chen, P.J., Zhou, J., He, K.: Feature Selection in Audiovisual Emotion Recognition Based on Rough Set Theory. In: Peters, J.F., Skowron, A., Marek, V.W., Or-lowska, E., S-lowínski, R., Ziarko, W.P. (eds.) Transactions on Rough Sets VII. LNCS, vol.4400, pp. 283-294. Springer, Heidelberg (2007
15. Yuan, Z., Wu, Y., Wang, G.Y., Li, J.B.: Motion-Information-Based Video Retrieval System Using Rough Pre-classi.cation. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets V. LNCS, vol.4100, pp. 306-333. Springer, Heidelberg (2006
16. Zadeh, L.A.: Fuzzy Sets. Inform. Control 8, 338-353 (1965
17. Zakowski,W.: Approximation in The Space (U, D). Demonstratio Mathematica 16, 761-769 (1983
18. Zhong, N., Yao, Y., Ohshima, M.: Peculiarity Oriented Multidatabase Mining. IEEE Trans. Knowledge and Data Eng. 15(4), 952-960 (2003
19. Zhu, F.: On Covering Generalized Rough Sets, MS thesis, The University of Arizona, Tucson, Arizona, USA (2002
20. Zhu, W., Wang, F.Y.: Reduction and Axiomization of Coving Generalized Rough Sets. Information Science 152, 217-230 (2003
21. Zhu, W.: Topological Approaches to Covering Rough Sets. Information sciences 177, 1499-1508 (2007 (Pubitemid 46037660)
22. Zhu, W., Wang, F.Y.: On Three Types of Covering-based Rough Sets. IEEE transactions on knowledge and data engineering 19(8), 1131-1144 (2007
23. Zhu, W., Wang, F.Y.: Covering Based Granular Computing for Con.ict Analysis. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, F.-Y. (eds.) ISI 2006. LNCS, vol.3975, pp. 566-571. Springer, Heidelberg (2006
24. Zhu, W., Wang, F.Y.: A new type of covering rough sets. In: IEEE IS 2006, 4-6 September 2006, pp. 444-449 (2006