An information-theoretic interpretation of thresholds in probabilistic rough sets

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

Volumn 7414 LNAI, Issue , 2012, Pages 369-378

  Deng, Xiaofei ^a   Yao, Yiyu ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY REGIONS; CLASSIFICATION ERRORS; INFORMATION-THEORETIC APPROACH; MEASURE OF UNCERTAINTY; OPTIMAL THRESHOLD; ROUGH SET; ROUGH SET MODELS; SHANNON ENTROPY;

INFORMATION THEORY;

ROUGH SET THEORY;

EID: 84865040948     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31900-6_46     Document Type: Conference Paper

References (17)

1. Azam, N., Yao, J.: Multiple Criteria Decision Analysis with Game-theoretic Rough Sets. In: Li, T., Nguyen, H.S., Wang, G., Grzymala-Busse, J.W., Janicki, R., Hassanien, A.E., Yu, H. (eds.) RSKT 2012. LNCS (LNAI), vol. 7414, pp. 400-409. Springer, Heidelberg (2012)
2. Herbert, J.P., Yao, J.T.: Learning optimal parameters in decision-theoretic rough sets. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds.) RSKT 2009. LNCS, vol. 5589, pp. 610-617. Springer, Heidelberg (2009)
3. Herbert, J.P., Yao, J.T.: Game-theoretic rough sets. Fundamenta Informaticae 108, 267-286 (2011)
4. Jia, X., Li, W., Shang, L., Chen, J.: An Optimization Viewpoint of Decision- Theoretic Rough Set Model. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds.) RSKT 2011. LNCS, vol. 6954, pp. 457-465. Springer, Heidelberg (2011)
5. 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, 1-11 (2011)
6. Li, H.X., Zhou, X.Z., Li, T.R., Wang, G.Y., Miao, D.Q., Yao, Y.Y. (eds.): Decision- Theoretic Rough Sets Theory and Recent Research. Science Press, Beijing (2011) (in Chinese)
7. Liu, D., Li, T.R., Ruan, D.: Probabilistic model criteria with decision-theoretic rough sets. Information Science 181, 3709-3722 (2011)
8. Liu, D., Li, T.R., Li, H.X.: A multiple-category classification approach with decision-theoretic rough sets. Fundamenta Informaticae 115, 173-188 (2012)
9. Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11, 341-356 (1982)
10. Quinlan, J.R.: Introduction of decision trees. Machine Learning 1, 81-106 (1986)
11. Yao, Y.Y.: Probabilistic approaches to rough sets. Expert Systems 20, 287-297 (2003)
12. Yao, Y.Y.: Probabilistic rough set approximations. International Journal of Approximate Reasoning 49, 255-271 (2008)
13. Yao, Y.Y.: Three-way decisions with probabilistic rough sets. Information Sciences 180, 341-353 (2010)
14. Yao, Y.Y.: The superiority of three-way decisions in probabilistic rough set models. Information Science 181, 1080-1096 (2011)
15. Yao, Y.Y.: An Outline of a Theory of Three-Way Decisions. In: Yao, J., Yang, Y., Slowinski, R., Greco, S., Li, H., Mitra, S., Polkowski, L. (eds.) RSCTC 2012. LNCS (LNAI), vol. 7413, pp. 1-17. Springer, Heidelberg (2012)
16. Yao, Y.Y., Wong, S.K.M.: A decision theoretic framework for approximating concepts. International Journal of Man-machine Studies 37, 793-809 (1992)
17. Yao, Y.Y., Wong, S.K.M., Lingras, P.J.: A decision-theoretic rough set model. In: Ras, Z.W., Zemankova, M., Emrich, M.L. (eds.) Methodologies for Intelligent Systems 5, pp. 17-24. North-Holland, New York (1990)