Multi-period multi-attribute group decision-making under linguistic assessments

International Journal of General Systems

Volumn 38, Issue 8, 2009, Pages 823-850

  Xu, Zeshui ^a,b  

^a Shanghai Jiao Tong University   (China)

^b PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Aggregation; Dynamic linguistic weighted geometric operator; Multi period multi attribute group decision making; Time series; Unbalanced multiplicative linguistic label set

Indexed keywords

AGGREGATION; AGGREGATION DYNAMICS; LINGUISTIC LABELS; MULTI-ATTRIBUTE GROUP DECISION-MAKING; MULTI-PERIOD;

DIAGNOSIS; INVESTMENTS; LABELS; LINGUISTICS; TIME SERIES;

DECISION MAKING;

EID: 74949142822     PISSN: 03081079     EISSN: 15635104     Source Type: Journal    
DOI: 10.1080/03081070903257920     Document Type: Article

References (34)

1. Bodily, S. E. , 1979. A delegation process for combining individual utility functions. Management science, 25, 1035-1041.
2. Bordogna, G. , Fedrizzi, M. and Pasi, G. , 1997. A linguistic modeling of consensus in group decision making based on OWA operator. IEEE transactions on systems, man, and cybernetics, 27, 126-132.
3. Brock, H. W. , 1980. The problem of 'utility weights' in group preference aggregation. Operations research, 28, 176-187.
4. Chen, C. T. , 2000. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114, 1-9.
5. Delgado, M. , Verdegay, J. L. and Vila, M. A. , 1993. On aggregation operators of linguistic labels. International journal of intelligent systems, 8, 351-370.
6. Fullér, R. and Majlender, P. , 2003. On obtaining minimal variability OWA operator weights. Fuzzy sets and systems, 136, 203-215.
7. Herrera, F. and Herrera-Viedma, E. , 2000. Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy sets and systems, 115, 67-82.
8. Herrera, F. and Herrera-Viedma, E. , 2003. Linguistic preference modeling: foundation models and new trends. In: Proceedings of 4th international workshop on preferences and decisions. Trento (Italy), 47-51.
9. Herrera, F. and Martínez, L. , 2000. A 2-tuple fuzzy linguistic representation model for computing with words. IEEE transactions on fuzzy systems, 8, 746-752.
10. Herrera, F. , Herrera-Viedma, E. and Martínez, L. , 2000. A fusion approach for managing multi-granularity linguistic term sets in decision making. Fuzzy sets and systems, 114, 43-58.
11. Hwang, C. L. and Yoon, K. , 1981. Multiple attributes decision making methods and applications. Berlin: Springer.
12. Keeney, R. L. , 1976. A group preference axiomatization with cardinal utility. Management science, 23, 140-145.
13. Köksalan, M. and Ulu, C. , 2003. An interactive approach for placing alternatives in preference classes. European journal of operational research, 144, 429-439.
14. Levrat, E. , Voisin, A. , Bombardier, S. and Bremont, J. , 1997. Subjective evaluation of car seat comfort with fuzzy set techniques. International journal of intelligent systems, 12, 891-913.
15. Ramanathan, R. and Ganesh, L. S. , 1994. Group preference aggregation methods employed in AHP: an evaluation and an intrinsic process for deriving members' weightages. European journal of operational research, 79, 249-265.
16. Torra, V. , 1996. Negation functions based semantics for ordered linguistic labels. International journal ofintelligent systems, 11, 975-988.
17. Torra, V. , 2001. Aggregation of linguistic labels when semantics is based on antonyms. International journal of intelligent systems, 16, 513-524.
18. Wu, Z. B. and Chen, Y. H. , 2007. The maximizing deviation method for group multiple attribute decision making under linguistic environment. Fuzzy sets and systems, 158, 1608-1617.
19. Xu, Z. S. , 2004a. Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment. Information sciences, 168, 171-184.
20. Xu, Z. S. , 2004b. A method based on linguistic aggregation operators for group decision making with linguistic preference relations. Information sciences, 166, 19-30.
21. Xu, Z. S. , 2005. Deviation measures of linguistic preference relations in group decision making. Omega, 33, 249-254.
22. Xu, Z. S. , 2006a. A note on linguistic hybrid arithmetic averaging operator in group decision making with linguistic information. Group decision and negotiation, 15, 581-591.
23. Xu, Z. S. , 2006b. On generalized induced linguistic aggregation operators. International journal of general systems, 35, 17-28.
24. Xu, Z. S. , 2006c. Induced uncertain linguistic OWA operators applied to group decision making. Information fusion, 7, 231-238.
25. Xu, Z. S. , 2006d. An approach based on the uncertain LOWG and the induced uncertain LOWG operators to group decision making with uncertain multiplicative linguistic preference relations. Decision support systems, 41, 488-499.
26. Xu, Z. S. , 2007a. Linguistic aggregation operators: an overview. In: H. Bustince and F. Herrera, J. Montero, eds. Fuzzy sets and their extensions: representation, aggregation and models. Heidelberg: Physica-Verlag, 163-181.
27. Xu, Z. S. , 2007b. A survey of preference relations. International journal of general systems, 36, 179-203.
28. Xu, Z. S. and Da, Q. L. , 2004. Projection method for uncertain multi-attribute decision making with preference information on alternatives. International journal of information technology and decision making, 3, 429-434.
29. Yager, R. R. , 1988. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE transactions on systems, man, and cybernetics, 18, 183-190.
30. Yager, R. R. , 1995. An approach to ordinal decision making. International journal of approximate reasoning, 12, 237-261.
31. Yager, R. R. , 2007. Time series smoothing and OWA aggregation. Technical Report # MII-2701, Machine Intelligence Institute, Iona College, New Rochelle, NY.
32. Zadeh, L. A. , 1975a. The concept of a linguistic variable and its application to approximate reasoning. Information sciences, 8, 199-249.
33. Zadeh, L. A. , 1975b. The concept of a linguistic variable and its application to approximate reasoning. Information sciences, 8, 301-357.
34. Zadeh, L. A. , 1976. The concept of a linguistic variable and its application to approximate reasoning. Information sciences, 9, 43-80.