On dominance relations in disjunctive set-valued ordered information systems

International Journal of Information Technology and Decision Making

Volumn 9, Issue 1, 2010, Pages 9-33

  Qian, Y H ^a   Liang, J Y ^a   Song, P ^b   Dang, C Y ^c  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b SHANXI UNIVERSITY   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Criterion reduction; Decision making; Dominance relation; Information systems; Rough sets

Indexed keywords

EID: 77951686705     PISSN: 02196220     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219622010003646     Document Type: Article

References (42)

1. Y. Shi, Y. Peng, W. X. Xu and X. W. Tang, Data mining via multiple criteria linear programming: Applications in credit card portfolio management, International Journal of Information Technology & Decision Making 1 (1) (2002) 131-151.
2. S. W. Cheng, R. W. Dai, W. X. Xu and Y. Shi, Research on data mining and knowledge management and its applications in China's economic develpment: Significance and trend, International Journal of Information Technology & Decision Making 5 (4) (2006) 585-596. (Pubitemid 44917235)
3. Z. Pawlak, Rough Sets: Theoretical Aspects of Reasoning About Data, System Theory (Kluwer Academic Publishers, Boston, 1991).
4. Z. Pawlak and A. Skowron, Rudiments of rough sets, Information Sciences 177 (2007) 3-27. (Pubitemid 44556698)
5. D. Dubois and H. Prade, Rough fuzzy sets and fuzzy rough sets, International Journal of General Systems 17 (1990) 191-209.
6. I. Düntsch and G. Gediga, Uncertainty measures of rough set prediction, Artificial Intelligence 106 (1998) 109-137. (Pubitemid 128402352)
7. G. Gediga and I. Düntsch, Rough approximation quality revisited, Artificial Intelligence 132 (2001) 219-234. (Pubitemid 32951241)
8. R. Jensen and Q. Shen, Fuzzy-rough sets assisted attribute selection, IEEE Transactions on Fuzzy Systems 15 (1) (2007) 73-89. (Pubitemid 46444305)
9. J. Y. Liang, C. Y. Dang, K. S. Chin and C. M. Yam Richard, A new method for measuring uncertainty and fuzziness in rough set theory, International Journal of General Systems 31 (4) (2002) 331-342.
10. Y. H. Qian and J. Y. Liang, Rough set method based on multi-granulations, in Proceedings of 5th IEEE Conference on Cognitive Informatics, Vol. I (Beijing, China, 2006), pp. 297-304.
11. Z. B. Xu, J. Y. Liang, C. Y. Dang and K. S. Chin, Inclusion degree: A perspective on measures for rough set data analysis, Informatin Sciences 141 (2002) 227-236.
12. Y. Y. Yao, Information granulation and rough set approximation, International Journal of Intelligent Systems 16 (2001) 87-104.
13. A. Zeng, D. Pan, Q. L. Zheng and H. Peng, Knowledge acquisition based on rough set theory and principal component analysis, IEEE Intelligent Systems (2006) pp. 78-85.
14. J. W. Guan and D. A. Bell, Rough computational methods for information systems, Artificial Intelligence 105 (1998) 77-103. (Pubitemid 128398274)
15. G. Jeon, D. Kim and J. Jeong, Rough sets attributes reduction based expert system in interlaced video sequences, IEEE Transactions on Consumer Electronics 52 (4) (2006) 1348-1355. (Pubitemid 46231649)
16. M. Kryszkiewicz, Rough set approach to incomplete information systems, Information Sciences 112 (1998) 39-49. (Pubitemid 128649627)
17. Y. Leung, W. Z. Wu and W. X. Zhang, Knowledge acquisition in incomplete information systems: A rough set approach, European Journal Operational Research 168 (2006) 164-180. (Pubitemid 40454556)
18. J. Y. Liang and D. Y. Li, Uncertainty and Knowledge Acquisition in Information Systems (Science Press, Beijing, China, 2005).
19. J. Y. Liang and Y. H. Qian, Axiomatic approach of knowledge granulation in information systems, Lecture Notes in Artificial Intelligence, Vol. 4304 (2006), pp. 1074-1078.
20. Y. H. Qian and J. Y. Liang, Combination entropy and combination granulation in incomplete informatin systems, Lecture Notes in Artificial Intelligence, Vol. 4062 (2006), pp. 184-190. (Pubitemid 44165639)
21. S. Greco, B. Matarazzo and R. Slowinski, A new rough set approach to multicriteria and multiattribute classification, Lecture Notes in Artificial Intelligence, Vol. 1424 (1998), pp. 60-67.
22. S. Greco, B. Matarazzo and R. Slowinski, Rough sets theory for multicriteria decision analysis, European Journal of Operational Research 129 (2001) 11-47.
23. S. Greco, B. Matarazzo and R. Slowinski, Rough sets methodology for sorting problems in presence of multiple attributes and criteria, European Journal of Operational Research 138 (2002) 247-259. (Pubitemid 34065096)
24. S. Greco, B. Matarazzo, R. Slowinski and J. Stefanowski, An algorithm for induction of decision rules consistent with the dominance pronciple, Lecture Notes in Artificial Intelligence, Vol. 2005 (2001), pp. 304-313.
25. K. Dembczynski, R. Pindur and R. Susmaga, Generation of exhaustive set of rules within dominance-based rough set approach, Electronic Notes in Theoretical Computer Science 82 (4) (2003).
26. K. Dembczynski, R. Pindur and R. Susmaga, Dominance-based rough set classifier without induction of decision rules, Electronic Notes in Theoretical Computer Science 82 (4) (2003).
27. Y. Sai, Y. Y. Yao and N. Zhong, Data analysis and mining in ordered information tables, Proceedings of 2001 IEEE International Conference on Data Mining (IEEE Computer Society Press, 2001), pp. 497-504.
28. M. W. Shao and W. X. Zhang, Dominance relation and rules in an incomplete ordered information system, International Journal of Intelligent Systems 20 (2005) 13-27.
29. I. Düntsch, G. Gediga and E. Orlowska, Relational attribute systems, International Journal of Human-Computer Studies 55 (2001) 293-309.
30. W. Lipski, On databases with incomplete information, Journal of the ACM 26 (1981) 41-70.
31. E. Orlowska, Semantic analysis of inductive reasoning, Theoretical Computer Science 43 (1986) 81-89.
32. E. Orlowska and Z. Pawlak, Representation of nondeterministic information, Theoretical Computer Science 29 (1987) 27-39.
33. Y. Y. Guan and H. K. Wang, Set-valued information systems, Information Sciences 176 (2006) 2507-2525. (Pubitemid 43912207)
34. M. Kryszkiewicz, Rules in incomplete information systems, Information Sciences 113 (1999) 271-292.
35. Y. Leung and D. Y. Li, Maximal consistent block technique for rule acquisition in incomplete information systems, Information Sciences 153 (2003) 85-106.
36. Y. H. Qian, J. Y. Liang, D. Y. Li, H. Y. Zhang and C. Y. Dang, Measures for evaluating the decision performance of a decision table in rough set theory, Information Sciences 178 (2008) 181-202. (Pubitemid 47531789)
37. S. W. Han and J. Y. Kim, Rough set-based decision tree using a core attribute, International Journal of Information Technology & Decision Making 7 (2) (2008) 275-290.
38. N. Ahmad, D. Berg and G. R. Simons, The integration of analytical hierarchy process and data envelopment analysis in a multi-criteria decision-making problem, International Journal of Information Technology & Decision Making 5 (2) (2006) 263-276. (Pubitemid 44109653)
39. H. K. Alfares and S. O. Duffuaa, Determining aggregate criteria weights from criteria rankings by a group of decision makers, International Journal of Information Technology & Decision Making 7 (4) (2008) 769-781.
40. Y. Peng, G. Kou, Y. Shi and Z. X. Chen, A descriptive framework for the field of data mining and knowledge discovery, International Journal of Information Technology & Decision Making 7 (4) (2008) 639-682.
41. Y. H. Qian, J. Y. Liang and C. Y. Dang, Interval ordered information systems, Computers and Mathematics with Applications 56 (2008) 1994-2009.
42. T. T. Tyebjee and A. V. Bruno, A model of venture capitalist investment activity, Management Science 30 (9) (1984) 1051-1066.