Decision-theoretic rough sets in incomplete information system

Fundamenta Informaticae

Volumn 126, Issue 4, 2013, Pages 353-375

  Yang, Xiaoping ^a   Lu, Zunjing ^a   Li, Tong Jun ^a  

^a ZHEJIANG OCEAN UNIVERSITY   (China)

Author keywords

Decision theoretic rough sets; Fuzzy information system; Fuzzy rough sets; Incomplete information system; Membership degree; Probability

Indexed keywords

DECISION-THEORETIC ROUGH SETS; FUZZY INFORMATION SYSTEMS; FUZZY-ROUGH SETS; INCOMPLETE INFORMATION SYSTEMS; MEMBERSHIP DEGREES;

APPROXIMATION ALGORITHMS; INFORMATION SYSTEMS; PROBABILITY;

ROUGH SET THEORY;

EID: 84887876802     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: 10.3233/FI-2013-886     Document Type: Article

References (34)

1. Dembczynski, K., Greco, S., Slowinski, R.: Rough set approach to multiple criteria classification with imprecise evaluations and assignments, European Journal of Operational Research, 198, 2009, 626-636.
2. Herbert, J.P., Yao, J.T.: Game-theoretic rough sets, Fundamenta Informaticae, 108, 2011, 267-286.
3. Herbert, J.P., Yao, J.T.: Analysis of data-driven parameters in Game-theoretic rough sets, Proc. Rough Sets and Knowledge Technology (J.T. Yao, S. Ramanna, G.Wang, Z. Suraj, Eds.), LNCS (LNAI), 6954, Springer-Heidelberg, 2011, 447-456.
4. Jia, X.Y., Zheng, K., Li, W.W., Liu, T.T., Shang, L.: Three-way decisions solution to filter spam email: an empirical study, Proc. 8th International Conference on Rough Sets and Current Trends in Computing, 2012, 287-296.
5. Jia, X., Li, W., Shang, L., Chen, J.: An optimization viewpoint of decision-theoretic rough set model, Proc. Rough Sets and Knowledge Technology (J.T. Yao, S. Ramanna, G. Wang, Z. Suraj, Eds.), LNCS (LNAI), 6954, Springer-Heidelberg, 2011, 457-4265.
6. Kryszkiewicz, M.: Rough set approach to incomplete information systems, Information Sciences, 112, 1998, 39-49.
7. Kryszkiewicz, M.: Rules in incomplete information systems, Information Sciences, 113, 1999, 271-292.
8. Leung, Y., Wu, W.-Z., Zhang, W.-X.: Knowledge acquisition in incomplete information systems: A rough set appproach, European Journal of Operational Research, 168, 2006, 164-180.
9. Lingras, P., Yao, Y.Y.: Data mining using extensions of the rough set model, Journal of the American Society for Information Science, 49, 1998, 415-422.
10. Li, D.Y., Zhang, B., Leung, Y.: On knowledge reduction in inconsistent decision information systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12, 2004, 651-672.
11. Li, H.X., Zhou, X.Z.: Risk decision making based on decision-theoretic rough set: a three-way view decision model, International Journal of Computational Intelligence Systems, 4(1), 2011, 1-11.
12. Li, H.X., Wang M.H., Zhou, X.Z., Zhao J.B.: An interval set model for learning rules from incomplete information table, International Journal of Approximate Reasoning, 53(1), 2012, 24-37.
13. Li, H.X., Yao Y.Y., Zhou, X.Z., Huang, B.: A two-phase model for learning rules from incomplete data, Fundamenta Informaticae, 94(2), 2009, 219-232.
14. Li, H.X., Zhou, X.Z., Zhao, J.B, Liu, D.: Non-monotonic attribute reduction in decision-theoretic rough sets, Fundamenta Informaticae, 2013.
15. Li, R.P., Yao, Y.Y.: Indiscernibility and similarity in an incomplete information table, Proc. Rough Sets and Knowledge Technology (J. Yu, S. Greco, P. Lingras, G. Wang, A. Skowron, Eds.), LNCS (LNAI), 6401, Springer-Heidelberg, 2010, 110-117.
16. Liu, D., Yao, Y.Y., Li, T.R.: Three-way investment decisions with decision-theoretic rough sets, International Journal of Computational Intelligence Systems, 4(1), 2011, 66-74.
17. Liu, D., Li, T.R., Ruan, D.: Probabilistic model criteria with decision-theoretic rough sets, Information Sciences, 181, 2011, 3709-3722.
18. Liu, D., Li, T., Li, H.: A multiple-category classification approach with decision-theoretic rough sets, Fundamenta Informaticae, 115, 2012, 173-188.
19. Mi, J.S., Wu, W.Z., Zhang, W.X.: Approaches to knowledge reductions based on variable precision rough sets mode, Information Sciences, 159, 2004, 255-274.
20. Pawlak, Z.: Rough sets, International Journal of Computer and Information Sciences, 11, 1982, 341-356.
21. Wu, W.Z.: Attribute reduction based on evidence theory in incomplete decision systems, Information Sciences, 178, 2008, 1355-1371.
22. Wu, W.Z.: Knowledge reduction in random incomplete information systems, Proc. Rough Sets and Knowledge Technology (J. Yu, S. Greco, P. Lingras, G. Wang, A. Skowron, Eds.), LNCS (LNAI), 6401, Springer-Heidelberg, 2010, 38-45.
23. Wu, W.Z.: Knowledge reduction in random incomplete information systems via evidence theory, Fundamenta Informaticae, 115, 2012, 203-218.
24. Yang, X.P.: Fuzziness in incomplete information systems, Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29 August 2004, 1599-1603.
25. Yang, X.P.: An interpretation of rough sets in incomplete information systems within intuitionistic fuzzy sets, Proc. Rough Sets and Knowledge Technology (P.Wen, et al. Eds.), LNCS (LNAI), 5589, Springer-Heidelberg, 2010, 326-333.
26. Yang, X.P., Yao, J.T.: A multi-agent decision-theoretic rough set model, Proc. Rough Sets and Knowledge Technology (J. Yu, S. Greco, P. Lingras, G. Wang, A. Skowron, Eds.), LNCS (LNAI), 6401, Springer-Heidelberg, 2010, 711-718.
27. Yang, X.P., Yao, J.T.: Modelling multi-agent three-way decisions with decision-theoretic rough sets, Fundamenta Informaticae, 115, 2012, 157-171.
28. Yang, X.P., Song, H.G., Li, T.J.: Decision making in incomplete information system based on decisiontheoretic rough sets, Proc. Rough Sets and Knowledge Technology (J.T. Yao, S. Ramanna, G.Wang, Z. Suraj, Eds.), LNCS (LNAI), 6954, Springer-Heidelberg, 2011, 495-503.
29. Yao, Y.Y., Wong, S.K.M., Lingras, P.: A decision-theoretic rough set models, Proc. 5th Int. Symposium on Methodologies for Intelligent Systems (Z. W. Ras, M. Zemankova, M. L. Emrich, Eds.), 5, 1990, 17-24.
30. Yao, Y.Y.: Probabilistic approaches to rough sets, Expert Systems, 20, 2003, 287-297.
31. Yao, Y.Y.: Three-way decisions with probabilistic rough sets, Information Sciences, 180, 2010, 341-353.
32. Yu, H., Chu, S., Yang, D.: Autonomous Knowledge-oriented clustering using decision-theoretic rough set theory, Fundamenta Informaticae, 115, 2012, 141-156.
33. Zhang, W.X., Leung, Y., Wu, W.Z.: Information System and Knowledge Discovery, Science Press, Beijing 2003.
34. Ziarko, W.: Variable precision rough set model, Journal of Computer and System Science, 46, 1993, 39-59.