Modelling multi-agent three-way decisions with decision-theoretic rough sets

Fundamenta Informaticae

Volumn 115, Issue 2-3, 2012, Pages 157-171

  Yang, Xiaoping ^a   Yao, Jingtao ^b  

^a ZHEJIANG OCEAN UNIVERSITY   (China)

^b UNIVERSITY OF REGINA   (Canada)

Author keywords

Decision theoretic rough sets; multi agent decision makings; probabilistic rough sets; three way decisions

Indexed keywords

BOUNDARY REGIONS; DECISION REGIONS; DECISION-THEORETIC; MULTI-AGENT DECISION MAKING; MULTIPLE AGENTS; NEW MODEL; ROUGH SET; SINGLE-AGENT; THREE-WAY DECISIONS;

EQUIVALENCE CLASSES;

ROUGH SET THEORY;

EID: 84860166334     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: 10.3233/FI-2012-647     Document Type: Conference Paper

References (26)

1. Chau, M., Zeng, D., Chen, H., Huang, M., Hendriawan, D.: Design and evaluation of a multi-agent collaborative Web mining system, Decision Support Systems, 35(1), 2003, 167-183.
2. Herbert, J. P., Yao, J. T.: Game-theoretic risk analysis in decision-theoretic rough sets, Proc. Rough Sets and Knowledge Technology (G. Wang, T. Li, J. W. Grzymala-Busse, D. Miao, A. Skowron, Y. Yao, Eds.), LNCS (LNAI), 5009, Springer-Heidelberg, 2008, 132-139. (Pubitemid 351776021)
3. Herbert, J. P., Yao, J. T.: Criteria for choosing a rough set model, Journal of Computing and Informatics, 57(6), 2009, 908-918.
4. Herbert, J. P., Yao, J. T.: Game-theoretic rough sets, Fundamenta Informaticae, 108(3-4), 2011, 267-286.
5. Keeney, R. L., Raiffa, H.: Decisions with Multiple Objectives: Preferences and Value Trade-Offs, Cambridge University Press, 1993
6. Lingras, P., Chen, M., Miao, D. Q.: Rough cluster quality index based on decision theory, IEEE Transactions on Knowledge and Data Engineering, 21(7), 2009, 1014-1026.
7. Liu, D., Li, H. X., Zhou, X. Z.: Two decades' research on decision-theoretic rough sets, Proc. 9th IEEE Int. Conf. on Cognitive Informatics (F. Sun, Y. Wang, J. Lu, B. Zhang, W. Kinsner, L. A. Zadeh, Eds.), 2010, 968-973.
8. Liu, D., Yao, Y. Y., Li, T. R.: Three-way decision-theoretic rough sets, Computer Science, 38(1), 2011, (In Chinese), 246-250.
9. Liu, Y., Bai, G., Feng, B.: Multi-agent based multi-knowledge acquisition method for rough set, Proc. Rough Sets and Knowledge Technology (G. Wang, T. Li, J. W. Grzymala-Busse, D. Miao, A. Skowron, Y. Yao, Eds.), LNCS (LNAI), 5009, Springer-Heidelberg, 2008, 140-147.
10. O'Hare, G. M. P., O'Grady, M. J.: Gulliver's Genie: A multi-agent system for ubiquitous and intelligent content delivery, Computer Communications, 26(11), 2003, 1177-1187.
11. Pawlak, Z.: Rough sets, International Journal of Computer and Information Sciences, 26(11), 1982, 341-356.
12. Slezak, D, Ziarko, W.: The investigation of the Bayesian rough set model. International Journal Approximate Reasoning, 40, 2005, 81-89.
13. Slezak, D.: Rough sets and Bayes factor, LNCS Transactions on Rough Sets III (J. Peters, A. Skowron, Eds.), LNCS 3400, Springer-Heidelberg, 2005, 202-229. (Pubitemid 350237154)
14. Xu, Z. S.: Intuitionistic preference relations and their application in group decision making, Information Sciences, 177, 2007, 2363-2379.
15. Xu, Z. S., Yager, R. R.: Some geometric aggregation operators based on intuitionistic fuzzy sets, International Journal of General Systems, 35, 2006, 417-433. (Pubitemid 44726498)
16. 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.
17. Yao, J. T., Herbert, J. P.: Financial time-series analysis with rough sets, Applied Soft Computing, 3, 2009, 1000-1007.
18. Yao, J. T., Herbert, J. P.: Web-based support systems with rough set analysis, Rough Sets and Intelligent Systems Paradigms (M. Kryszkiewicz, J. F. Peters, H. Rybinski, A. Skowron, Eds.), LNCS (LNAI) 4585, Springer-Heidelberg, 2007, 360-370.
19. Yao, Y. Y.: Probabilistic approaches to rough sets, Expert Systems, 20, 2003, 287-297.
20. Yao, Y. Y., Wong, S. K. M.: A decision theoretic framework for approximating concepts, International Journal of Man-machine Studies, 37, 1992, 793-809.
21. 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.
22. Yao, Y. Y.: Three-way decisions with probabilistic rough sets, Information Sciences, 180, 2010, 341-353.
23. Yao, Y. Y.: The superiority of three-way decisions in probabilistic rough sets models, Information Sciences, 181, 2011, 1080-1096.
24. Zhao, W. Q., Zhu, Y. L.: An email classification scheme based on decision-theoretic rough set theory and analysis of email security, Proc. 2005 IEEE Region 10 TENCON, 2005, 2237-2242.
25. Zhou, X. Z., Li, H. X.: A multi-view decision model based on decision-theoretic rough set, Proc. Rough Sets and Knowledge Technology (P. Wen, Y. Li, L. Polkowski, Y. Yao, S. Tsumoto, G. Wang, Eds.), LNCS (LNAI), 5589, Springer-Heidelberg, 2009, 650-657.
26. Ziarko, W.: Variable precision rough set model, Journal of Computer and System Science, 46, 1993, 39-59. (Pubitemid 23639120)