Method to determine α in rough set model based on connection degree

Journal of Systems Engineering and Electronics

Volumn 20, Issue 1, 2009, Pages 98-105

  Li, Huaxiong ^a   Zhou, Xianzhong ^a   Huang, Bing ^b  

^a NANJING UNIVERSITY   (China)

^b NANJING AUDIT UNIVERSITY   (China)

Author keywords

Connection degree; Data mining; Identity degree; Relative positive region; Rough set; Set pair

Indexed keywords

CONNECTION DEGREE; IDENTITY DEGREE; POSITIVE REGION; ROUGH SET; SET PAIR;

DATA MINING; DECISION TABLES;

ROUGH SET THEORY;

EID: 77957575476     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Pawlak Z. Rough sets. Int. J. Comput. Inf. Sci., 1982, 11: 341-356.
2. Pawlak Z. Rough sets. Theoretical aspects of reasoning about data. Kluwer, Netherlands, 1991.
3. Zadeh L. A fuzzy set. Information and Control, 1965, 8 (3): 338-353.
4. Zadeh L A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1978, 1: 3-28.
5. Dempster A P. A generalization of Bayesian inference. Journal of the Royal Statistical Society, 1968, 30: 205-247.
6. Skowron A, Grzymala-Busse J W. From rough set theory to evidence theory. Advances in the Dempster-Shafer theory of evidence. Yaeger R R, Fedrizzi M, Kacprzyk J, Eds. Wiley, New York, 1994: 193-236.
7. Pawlak Z, Busse J G, Slowinski R, et al. Rough sets. Communications of the ACM, 1995, 38(11):89-95.
8. Liu Q. Rough sets and rough reasoning. Beijing: Science Press, 2001.
9. Kryszkiewicz M. Rough set approach to incomplete information systems. Information Sciences, 1998, 112: 39-49.
10. Kryszkiewicz M. Rules in incomplete information systems. Information Sciences, 1999, 113: 271-292.
11. Stefamowski J, Tsoukeas A. On the extension of rough sets under incomplete information. International Journal of Intelligent System, 1999,16(1): 29-38.
12. Wang G Y. Extension of rough set under incomplete information systems. Journal of Computer Research and Development, 2002, 39: 1238-1243.
13. Huang B, Zhou X Z. Rough set model based on set pair analysis in incomplete information system. Computer Science, 2002, 29: 1-3. (in Chinese)
14. Huang B, Zhou X Z. Extension of rough set model based on connection degree under incomplete information systems. Systems Engineering-Theory & Practice, 2004, 1:88-92. (in Chinese)
15. Huang B, Zhong B, Zhou X Z. Improved rough set model based on set pair. Computer Engineering and Applications, 2004, 2: 82-84. (in Chinese)
16. Lv D, Wu M D. The combination of set pair analysis and rough set. Computer Engineering and Applications, 2005, 33: 176-178. (in Chinese)
17. Zhao X, Liu T M, Xiang Y D. Extension of rough set model based on weighted connection degree in incomplete information systems. Computer Applications, 2005, 25(4): 824-826. (in Chinese)
18. Liu F C. Variable precision rough set model based on set pair analysis. Computer Engineering and Applications, 2005, 10: 74-76. (in Chinese)
19. Liu F C. An algorithm for attributes reduction in variable precision rough set model based on set pair analysis. Computer Engineering and Applications, 2006, 5: 8-10. (in Chinese)
20. Zhang C Y, Liu B X. One direction transfer rough sets model of incomplete information system based on SPA. Computer Engineering, 2006, 32(14):33-34. (in Chinese)
21. Zhou H, Wang Q Y, Fei Y, et al. Rough set models based on α identical degree similarity relation. Computer Applications, 2006, 26(3): 666-667. (in Chinese)
22. Zhao K Q. Set pair analysis and its preliminary applications. Hangzhou: Zhejiang Science and Technology Press, 2000. (in Chinese)
23. Huang D C, Zhao K Q, Lu Y Z, et al. The fundamental operation of arithmetic on connection number a+bi+cj and its applications. Mechanical & Electrical Engineering Magazine, 2000, 17: 81-84. (in Chinese)
24. Zhou L, Shu L. Rough set model based on new Set pair analysis. Fuzzy Systems and Mathematics, 2006, 20(4): 111-116.
25. Zhang W X, Wu W Z, Liang J Y, et al. Rough set theory and method. Beijing: Science Press, 2001, 14.