Action rules in consensus reaching process support

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

Volumn , Issue , 2009, Pages 827-832

  Kacprzyk, Janusz ^a   Zadrozny, Sławomir ^a   Raś, Zbigniew W ^b,c  

^a SYSTEMS RESEARCH INSTITUTE   (Poland)

^b University of North Carolina at Charlotte   (United States)

^c POLISH JAPANESE INSTITUTE OF INFORMATION TECHNOLOGY   (Poland)

Author keywords

Action rules; Consensus; Decision support system; Fuzzy linguistic preferences

Indexed keywords

ACTION RULES; FUZZY LINGUISTICS; FUZZY PREFERENCE RELATIONS; INDIVIDUAL PREFERENCE; INTUITIONISTIC FUZZY; PROCESS SUPPORT; SUPPORT SYSTEMS;

DECISION MAKING; DECISION THEORY; FUZZY LOGIC; FUZZY SETS; INTELLIGENT SYSTEMS; LINGUISTICS;

DECISION SUPPORT SYSTEMS;

EID: 77949511613     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2009.131     Document Type: Conference Paper

References (30)

1. E. Herrera-Viedma, F. Mata, L. Martínez, and L. G. Pérez, "An adaptive module for the consensus reaching process in group decision making problems," in MDAI, ser. Lecture Notes in Computer Science, V. Torra, Y. Narukawa, and S. Miyamoto, Eds., vol. 3558. Springer, 2005, pp. 89-98.
2. E. Herrera-Viedma, L. Martinez, F. Mata, and F. Chiclana, "A consensus support system model for group decision-making problems with multi-granular linguistic preference relations," IEEE Trans. on Fuzzy Systems, vol. 13, no. 5, pp. 644-658, 2005.
3. S. Zadro?zny, "An approach to the consensus reaching support in fuzzy environment," in Consensus under fuzziness, J. Kacprzyk, H. Nurmi, and M. Fedrizzi, Eds. Boston: Kluwer, 1997, pp. 83-109.
4. Z. W. Ras and A. Wieczorkowska, "Action-rules: How to increase profit of a company," in PKDD, ser. Lecture Notes in Computer Science, D. A. Zighed, H. J. Komorowski, and J. M. Zytkow, Eds., vol. 1910. Springer, 2000, pp. 587-592.
5. D. Dubois and H. Prade, "An introduction to bipolar representations of information and preference," International Journal of Intelligent Systems, vol. 23, no. 8, pp. 866-877, 2008.
6. K. Atanassov, "Intuitionistic fuzzy sets," Fuzzy Sets and Systems, vol. 20, pp. 87-96, 1986.
7. J. Kacprzyk and S. Zadro?zny, "Soft computing and web intelligence for supporting consensus reaching," Soft Computing, vol. to appear, 2009.
8. J.-F. Bonnefon, D. Dubois, H. Fargier, and S. Leblois, "Qualitative heuristics for balancing the pros and cons," Theory and Decision, vol. 65, p. 7195, 2008.
9. E. Szmidt and J. Kacprzyk, "Using intuitionistic fuzzy sets in group decision making," Control and Cybernetics, vol. 31, no. 4, 2002.
10. -, "A consensus-reaching process under intuitionistic fuzzy preference relations," International Journal of Intelligent Systems, vol. 18, no. 7, p. 837852, 2003.
11. M. Delgado, J. Verdegay, and M. Vila, "On aggregation operations of linguistic labels," International Journal of Intelligent Systems, no. 8, pp. 351-370, 1993.
12. F. Herrera, E. Herrera-Viedma, and J. Verdegay, "A model of consensus in group decision making under linguistic assessments," Fuzzy Sets and Systems, vol. 78, pp. 73-88, 1996.
13. F. Herrera and E. Herrera-Viedma, "Choice functions and mechanisms for linguistic preference relations," European Journal of Operational Research, vol. 120, pp. 144-161, 2000.
14. F. Mata, L. Martínez, and E. Herrera-Viedma, "An adaptive consensus support model for group decision-making problems in a multigranular fuzzy linguistic context," IEEE T. Fuzzy Systems, vol. 17, no. 2, pp. 279-290, 2009.
15. S. Alonso, F. J. Cabrerizo, F. Chiclana, F. Herrera, and E. Herrera-Viedma, "Group decision making with incomplete fuzzy linguistic preference relations," Int. J. Intell. Syst., vol. 24, no. 2, pp. 201-222, 2009.
16. F. J. Cabrerizo, S. Alonso, and E. Herrera-Viedma, "A consensus model for group decision making problems with unbalanced fuzzy linguistic information," International Journal of Information Technology and Decision Making, vol. 8, no. 1, pp. 109-131, 2009.
17. J. Kacprzyk, "On some fuzzy cores and "soft" consensus measures in group decision making," in The analysis of fuzzy information, J. Bezdek, Ed. Boca Raton: CRC Press, 1987, vol. 2, pp. 119-130.
18. J. Kacprzyk and M. Fedrizzi, "'Soft' consensus measures for monitoring real consensus reaching processes under fuzzy preferences," Control and Cybernetics, vol. 15, pp. 309-323, 1986.
19. -, "A 'soft' measure of consensus in the setting of partial (fuzzy) preferences," European Journal of Operational Research, vol. 34, pp. 315-325, 1988.
20. M. Fedrizzi, J. Kacprzyk, and S. Zadro?zny, "An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers," Decision Support Systems, vol. 4, no. 3, pp. 313-327, 1988.
21. L. Zadeh, "A computational approach to fuzzy quantifiers in natural languages," Computers and Mathematics with Applications, vol. 9, pp. 149-184, 1983.
22. E. Szmidt and J. Kacprzyk, "A new concept of a similarity measure for intuitionistic fuzzy sets and its use in group decision making," in MDAI, ser. Lecture Notes in Computer Science, V. Torra, Y. Narukawa, and S. Miyamoto, Eds., vol. 3558. Springer, 2005, pp. 272-282.
23. Z. Xu and R. Yager, "Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group," Fuzzy Optimization and Decision Making, vol. 8, pp. 123-139, 2009.
24. Z. Pawlak, "Information systems theoretical foundations," Inf. Syst., vol. 6, no. 3, pp. 205-218, 1981.
25. Z. W. Raś and A. Dardzińska, "Action rules discovery without pre-existing classification rules," in RSCTC, ser. Lecture Notes in Computer Science, C.-C. Chan, J. W. Grzymala-Busse, and W. Ziarko, Eds., vol. 5306. Springer, 2008, pp. 181-190.
26. A. Dardzinska and Z. W. Ras, "Extracting rules from incomplete decision systems: System ERID," in Foundations and Novel Approaches in Data Mining, ser. Studies in Computational Intelligence, T. Y. Lin, S. Ohsuga, C.-J. Liau, and X. Hu, Eds. Springer, 2006, vol. 9, pp. 143-153.
27. Z. W. Ras, L.-S. Tsay, and A. Dardzinska, "Tree-based algorithms for action rules discovery," in Mining Complex Data, ser. Studies in Computational Intelligence, D. A. Zighed, S. Tsumoto, Z. W. Ras, and H. Hacid, Eds. Springer, 2009, vol. 165, pp. 153-163.
28. L.-S. Tsay, Z. W. Ras, and A. Wieczorkowska, "Treebased algorithm for discovering extended action-rules (system dear2)," in Intelligent Information Systems, ser. Advances in Soft Computing, M. A. Klopotek, S. T. Wierzchon, and K. Trojanowski, Eds. Springer, 2004, pp. 459-464.
29. A. Tzacheva and Z. Raś, "Action rules mining," International Journal of Intelligent Systems, vol. 20, no. 7, p. 719736, 2005.
30. V. Torra, Y. Narukawa, and S. Miyamoto, Eds., Modeling Decisions for Artificial Intelligence, Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings, ser. Lecture Notes in Computer Science, vol. 3558. Springer, 2005.