Set-valued ordered information systems

Information Sciences

Volumn 179, Issue 16, 2009, Pages 2809-2832

  Qian, Yuhua ^a,b   Dang, Chuangyin ^b   Liang, Jiye ^a,b   Tang, Dawei ^c  

^a SHANXI UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Criteria reduction; Dominance relation; Rough set; Set valued ordered decision tables; Set valued ordered information systems

Indexed keywords

CRITERIA REDUCTION; DOMINANCE RELATION; ROUGH SET; SET-VALUED ORDERED DECISION TABLES; SET-VALUED ORDERED INFORMATION SYSTEMS;

FUZZY SETS; INFORMATION SYSTEMS; ROUGH SET THEORY;

DECISION TABLES;

EID: 65849463644     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2009.04.007     Document Type: Article

References (55)

1. Bryson N., and Mobolurin A. An action learning evaluation procedure for multiple criteria decision making problems. European Journal of Operational Research 96 (1996) 379-386
2. Dembczynski K., Pindur R., and Susmaga R. Generation of exhaustive set of rules within dominance-based rough set approach. Electronic Notes in Theoretical Computer Science 82 4 (2003)
3. Dembczynski K., Pindur R., and Susmaga R. Dominance-based rough set classifier without induction of decision rules. Electronic Notes in Theoretical Computer Science 82 4 (2003)
4. Dubois D., and Prade H. Rough fuzzy sets and fuuzy rough sets. International Journal of General Systems 17 (1990) 191-209
5. Düntsch I., and Gediga G. Uncertainty measures of rough set prediction. Artificial Intelligence 106 (1998) 109-137
6. Düntsch I., Gediga G., and Orlowska E. Relational attribute systems. International Journal of Human-Computer Studies 55 (2001) 293-309
7. Gediga G., and Düntsch I. Rough approximation quality revisited. Artificial Intelligence 132 (2001) 219-234
8. Greco S., Matarazzo B., and Slowinski R. Rough sets theory for multicriteria decision analysis. European Journal of Operational Research 129 (2001) 11-47
9. Greco S., Matarazzo B., and Slowinski R. Rough sets methodology for sorting problems in presence of multiple attributes and criteria. European Journal of Operational Research 138 (2002) 247-259
10. Guan Y.Y., and Wang H.K. Set-valued information systems. Information Sciences 176 (2006) 2507-2525
11. Guan J.W., and Bell D.A. Rough computational methods for information systems. Artificial Intelligence 105 (1998) 77-103
12. Hu Q.H., Yu D.R., Xie Z.X., and Liu J.F. Fuzzy probabilistic approximation spaces and their information measures. IEEE Transactions on Fuzzy Systems 14 2 (2006) 191-201
13. Iyer N.S. A family of dominance rules for multiattribute decision making under uncertainty. IEEE Transactions on Systems, Man, and Cybernetics Part A 33 (2003) 441-450
14. Jensen R., and Shen Q. Fuzzy-rough sets assisted attribute selection. IEEE Transactions on Fuzzy Systems 15 1 (2007) 73-89
15. Jeon G., Kim D., and Jeong J. Rough sets attributes reduction based expert system in interlaced video sequences. IEEE Transactions on Consumer Electronics 52 4 (2006) 1348-1355
16. Kryszkiewicz M. Rough set approach to incomplete information systems. Information Sciences 112 (1998) 39-49
17. Kryszkiewicz M. Rules in incomplete information systems. Information Sciences 113 (1999) 271-292
18. Leung Y., and Li D.Y. Maximal consistent block technique for rule acquisition in incomplete information systems. Information Sciences 153 (2003) 85-106
19. Leung Y., Wu W.Z., and Zhang W.X. Knowledge acquisition in incomplete information systems: a rough set approach. European Journal Operational Research 168 (2006) 164-180
20. Liang J.Y., Dang C.Y., Chin K.S., and Yam Richard C.M. A new method for measuring uncertainty and fuzziness in rough set theory. International Journal of General Systems 31 4 (2002) 331-342
21. Liang J.Y., and Li D.Y. Uncertainty and Knowledge Acquisition in Information Systems (2005), Science Press, Beijing, China
22. Liang J.Y., and Qian Y.H. Axiomatic approach of knowledge granulation in information systems. Lecture Notes in Artificial Intelligence 4304 (2006) 1074-1078
23. Lipski W. On databases with incomplete information. Journal of the ACM 26 (1981) 41-70
24. Ma J.M., Zhang W.X., Leung Y., and Song X.X. Granular computing and dual Galois connection. Information Sciences 177 (2007) 5365-5377
25. Mi J.S., Leung Y., and Wu W.Z. An uncertainty measure in partition-based fuzzy rough sets. International Journal General Systems 34 (2005) 77-90
26. Mi J.S., Wu W.Z., and Zhang W.X. Approaches to knowledge reductions based on variable precision rough sets model. Information Sciences 159 (2004) 255-272
27. Mi J.S., and Zhang W.X. An axiomatic characterization of a fuzzy generalization of rough sets. Information Sciences 160 (2004) 235-249
28. Orlowska E. Semantic analysis of inductive reasoning. Theoretical Computer Science 43 (1986) 81-89
29. Orlowska E., and Pawlak Z. Representation of nondeterministic information. Theoretical Computer Science 29 (1987) 27-39
30. Pawlak Z. Rough sets: theoretical aspects of reasoning about data, system theory. Knowledge Engineering and Problem Solving vol. 9 (1991), Kluwer, Dordrecht
31. Pawlak Z., and Skowron A. Rudiments of rough sets. Information Sciences 177 (2007) 3-27
32. Qian Y.H., Liang J.Y., Li D.Y., Zhang H.Y., and Dang C.Y. Measures for evaluating the decision performance of a decision table in rough set theory. Information Sciences 178 (2008) 181-202
33. Qian Y.H., and Liang J.Y. Combination entropy and combination granulation in incomplete information systems. Lecture Notes in Artificial Intelligence 4062 (2006) 184-190
34. Qian Y.H., Liang J.Y., and Dang C.Y. Converse approximation and rule extracting from decision tables in rough set theory. Computer and Mathematics with Applications 55 (2008) 1754-1765
35. Qian Y.H., Liang J.Y., Dang C.Y., Wang F., and Xu W. Knowledge distance in information systems. Journal of System Sciences and System Engineering 16 4 (2007) 434-449
36. Qian Y.H., Dang C.Y., and Liang J.Y. Consistency measure, inclusion degree and fuzzy measure in decision tables. Fuzzy Sets and Systems 159 (2008) 2353-2377
37. Qian Y.H., Dang C.Y., Liang J.Y., Zhang H.Y., and Ma J.M. On the evaluation of the decision performance of an incomplete decision table. Data and Knowledge Engineering 65 3 (2008) 373-400
38. Qian Y.H., Liang J.Y., and Dang C.Y. Interval ordered information systems. Computers and Mathematics with Applications 56 (2008) 1994-2009
39. Sai Y., Yao Y.Y., and Zhong N. Data analysis and mining in ordered information tables. Proceedings of 2001 IEEE International Conference on Data Mining (2001), IEEE Computer Society Press 497-504
40. Shao M.W., and Zhang W.X. Dominance relation and rules in an incomplete ordered information system. International Journal of Intelligent Systems 20 (2005) 13-27
41. Wang C.Z., Wu C.X., and Chen D.G. A systematic study on attribute reduction with rough sets based on general relations. Information Sciences 178 (2008) 2237-2261
42. Wu W.Z., Mi J.S., and Zhang W.X. Generalized fuzzy rough sets. Information Sciences 151 (2003) 263-282
43. Wu W.Z., and Zhang W.X. Neighborhood operator systems and approximations. Information Sciences 144 (2002) 201-217
44. Wu W.Z., Zhang W.X., and Li H.Z. Knowledge acquisition in incomplete fuzzy information systems via rough set approach. Expert Systems 20 (2003) 280-286
45. Wu W.Z., Zhang M., Li H.Z., and Mi J.S. Knowledge reduction in random information systems via Dempster-Shafer theory of evidence. Information Sciences 174 (2005) 143-164
46. Xu Z.B., Liang J.Y., Dang C.Y., and Chin K.S. Inclusion degree: a perspective on measures for rough set data analysis. Information Sciences 141 (2002) 227-236
47. Xu Z.S. Uncertain Multiple Attribute Decision Making: Methods and Applications (2004), TsingHua Press, Beijing, China
48. Xu Z.S., and Da Q.L. The uncertain OWA operator. International Journal of Intelligent Systems 17 (2002) 569-575
49. Yao Y.Y. Information granulation and rough set approximation. International Journal of Intelligent Systems 16 (2001) 87-104
50. Yeung D., Chen D., Tsang E., Lee J., and Wang X. On the generalization of fuzzy rough sets. IEEE Transactions on Fuzzy Systems 13 3 (2005) 343-361
51. Zeng A., Pan D., Zheng Q.L., and Peng H. Knowledge acquisition based on rough set theory and principal component analysis. IEEE Intelligent Systems (2006) 78-85
52. Zhang W.X., Ma J.M., and Fan S.Q. Variable threshold concept lattices. Information Sciences 177 (2007) 4883-4892
53. Zhang W.X., Leung Y., and Wu W.Z. Information Systems and Knowledge Discovery (2003), Science Press, Beijing, China
54. Zhang W.X., and Qiu G.F. Uncertain Decision Making Based on Rough Sets (2005), TsingHua Press, Beijing, China
55. Data sets in articles, .