Consensus rules with minimum adjustments for multiple attribute group decision making

Procedia Computer Science

Volumn 17, Issue , 2013, Pages 473-481

  Zhang, Bowen ^a   Dong, Yucheng ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b Sichuan University   (China)

Author keywords

Consensus reaching process; Consensus rule; Minimum adjustments; Multiple attribute group decision making (MAGDM)

Indexed keywords

EID: 84898764742     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2013.05.061     Document Type: Conference Paper

References (21)

1. K. Yoon and C.L. Hwang, (1981). Multiple attribute decision making: methods and applications, Springer, Berlin.
2. E. Herrera-Viedma, F. Herrera, and F. Chiclana, (2002). A consensus model for multiperson decision making with different preference structures, IEEE Transaction on Systems, Man, and Cybernetics Part A, 32 , 394 402.
3. E. Herrera-Viedma, F. Mata, L. Martínez, and F. Chiclana, (2005). A consensus support system model for group decision-making problems with multigranular linguistic preference relations, IEEE Transactions on Fuzzy Systems, 13, 644 658.
4. J. Kacprzyk, M. Fedrizzi,(1988). A 'soft' measure of consensus in the setting of partial (fuzzy) preferences, European Journal of Operational Research, 34, 316 325.
5. J. Kacprzyk, M. Fedrizzi, and H. Nurmi, Consensus Under Fuzziness. Norwell, MA: Kluwer, 1997.
6. F. Herrera, E. Herrera-Viedma, and J. L. Verdegay, (1996b). Direct approach processes in group decision making using linguistic OWA operators, Fuzzy Sets and Systems, 79, 175-190.
7. F. Herrera, E. Herrera-Viedma, and J. L. Verdegay, (1996a). A model of consensus in group decision making under linguistic assessments, Fuzzy Sets and Systems, 78, 73 87.
8. F. Herrera, E. Herrera-Viedma, and J. L. Verdegay, (1997). A rational consensus model in group decision making using linguistic assessments, Fuzzy Sets and Systems, 88, 31 49.
9. F. Mata, L. Martínez, and E. Herrera-Viedma, (2009). An adaptive consensus support model for group decision-making problems in a multigranular fuzzy linguistic context, IEEE Transaction on Fuzzy Systems, 17, 279 290.
10. F. J. Cabrerizo, J. M. Moreno, I. J. Pérez, and E. Herrera-Viedma, (2010). Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks, Soft Computing, 14 (5), 451-463.
11. F. Chiclana, F. Mata, L. Martínez, E. Herrera-Viedma, and S. Alonso, (2008). Integration of a consistency control module within a consensus model. International Journal of Uncertainty Fuzziness and Knowledge-based Systems, 16, 35-53.
12. E. Herrera-Viedma, J.L. García-Lapresta, J. Kacprzyk, M. Fedrizzi, H. Nurmi, and S. Zadrozny, (2011). Consensual Processes, Studies in Fuzziness and Soft Computing, Volume 267, Springer-Verlag, Berlin.
13. I. J. Perez, F. J. Cabrerizo, and E. Herrera-Viedma, (2010). A mobile decision support system for dynamic group decision-making problems, IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, 40 (6), 1244 1256.
14. Dong Y.C., Xu Y.F., Li H.Y., and B. Feng, (2010). The OWA-based consensus operator under linguistic representation models using position indexes, European Journal of Operational Research, 203, 455 463.
15. D. Ben-Arieh, and T. Easton, (2007). Multi-criteria group consensus under linear cost opinion elasticity, Decision Support Systems, 43(3), 713-721.
16. D. Ben-Arieh, T. Easton, and B. Evans, (2009). Minimum cost consensus with quadratic cost functions, IEEE Transaction on Systems, Man, and Cybernetics Part A, 39(1), 210-217.
17. Zhang G.Q., Dong Y.C., Xu Y.F., and Li H.Y., (2011). Minimum-cost consensus models under aggregation operators, IEEE Transaction on Systems, Man, and Cybernetics Part A, 41, 1253-1261.
18. Xu Z.S., (2009). An automatic approach to reaching consensus in multiple attribute group decision making, Computers & Industrial Engineering, 56, 1369 1374.
19. W. Ogryczak, and T. Śliwiński, (2003). On solving linear programs with the ordered weighted averaging objecting, Europen Journal of Operational Research, 148, 80-91.
20. T. Berthold, S. Heinz, and S. Vigerske, (2009). Extending a cip framework to solve MIQCPS, ZIB-Report 09-23, Zuse Institute Berlin.
21. K. Yoon, (1989). The propagation of errors in multiple-attribute decision analysis, A practical approach. Journal of Operational Research Society, 40, 681 686.