Multiple-category classification with decision-theoretic rough sets

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

Volumn 6401 LNAI, Issue , 2010, Pages 703-710

  Liu, Dun ^a   Li, Tianrui ^a   Hu, Pei ^a   Li, Huaxiong ^b  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

bayesian decision procedure; Decision theoretic rough set; multiple category; Probabilistic rough sets; three way decisions

Indexed keywords

BAYESIAN DECISION; DECISION-THEORETIC; MULTIPLE-CATEGORY; ROUGH SET; THREE-WAY DECISIONS;

BAYESIAN NETWORKS; DECISION THEORY;

ROUGH SET THEORY;

EID: 78349258150     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16248-0_95     Document Type: Conference Paper

References (17)

1. Forster, M.: Key concepts in model selection: performance and generalizability. Journal of Mathematical Psychology 44, 205-231 (2000)
2. Goudey, R.: Do statistical inferences allowing three alternative decision give better feedback for environmentally precautionary decision-making. Journal of Environmental Management 85, 338-344 (2007)
3. Joseph, P., Yao, J.: Criteria for choosing a rough set model. Computer and Mathematics with Application 57, 908-918 (2009)
4. Li, Y., Zhang, C., Swan, J.: An information fltering model on the Web and its application in JobAgent. Knowledge-Based Systems 13, 285-296 (2000)
5. Pauker, S., Kassirer, J.: The threshold approach to clinical decision making. The New England Journal of Medicine 302, 1109-1117 (1980)
6. Pawlak, Z.: Rough sets. International Journal of Computer and Information Science 11, 341-356 (1982)
7. Pawlak, Z., Wong, S., Ziarko, W.: Rough sets: probabilistic versus deterministic approach. International Journal of Man-Machine Studies 29, 81-95 (1988)
8. Pawlak, Z., Skowron, A.: Rough membership functions. In: Advances in the D-S Theory of Evidence, pp. 251-271. John Wiley and Sons, New York (1994)
9. Ślȩzak, D.: Rough sets and bayes factor. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets III. LNCS, vol. 3400, pp. 202-229. Springer, Heidelberg (2005)
10. Wong, S., Ziarko, W.: Comparison of the probabilistic approximate classification and the fuzzy set model. Fuzzy Sets and Systems 21, 357-362 (1987)
11. Woodward, P., Naylor, J.: An application of Bayesian methods in SPC. The Statistician 42, 461-469 (1993)
12. Yao, Y.: Three-way decisions with probabilistic rough sets. Information Sciences 180, 341-353 (2010)
13. Yao, Y., Wong, S.: A decision theoretic framework for approximating concepts. International Journal of Man-machine Studies 37(6), 793-809 (1992)
14. Yao, Y.: Probabilistic approaches to rough sets. Expert Systems 20, 287-297 (2003)
15. Yao, Y.: Decision-theoretic rough set models. In: Yao, J., Lingras, P., Wu, W.- Z., Szczuka, M.S., Cercone, N.J., Ślȩzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 1-12. Springer, Heidelberg (2007)
16. Yao, Y.Y.: Three-way decisions with probabilistic rough sets. Information Sciences 180, 341-353 (2010)
17. Ziarko, W.: Variable precision rough set model. Journal of Computer and System Sciences 46, 39-59 (1993)