An interactive procedure for linguistic multiple attribute decision making with incomplete weight information

Fuzzy Optimization and Decision Making

Volumn 6, Issue 1, 2007, Pages 17-27

  Xu, Zeshui ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Interactive procedure; Linear programming model; Linguistic label; Multiple attribute decision making; Satisfactory degree

Indexed keywords

DECISION THEORY; LINEAR PROGRAMMING; MATHEMATICAL MODELS; PROBLEM SOLVING;

INTERACTIVE PROCEDURE; LINEAR PROGRAMMING MODEL; LINGUISTIC LABEL; MULTIPLE ATTRIBUTE DECISION MAKING; SATISFACTORY DEGREE;

DECISION MAKING;

EID: 33751516013     PISSN: 15684539     EISSN: 15732908     Source Type: Journal    
DOI: 10.1007/s10700-006-0022-z     Document Type: Article

References (23)

1. Bordogna, G., Fedrizzi, M., & Passi, 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.
2. Bryson, N. & Mobolurin, A. (1995). An action learning evaluation procedure for multiple criteria decision making problems," European Journal of Operational Research,96, 379-386.
3. Bustince, H., Herrera, F., & Montero, J. (2006). Fuzzy sets and their extensions; Representation, aggregation and models. Heidelberg: Physica-Verlag.
4. Chen, J., & Lin, S. (2003). An interactive neural network based approach for solving multiple criteria decision making problems. Decision Support Systems,36, 137-146.
5. Herrera-Viedma, E., Martinez, L., Mata, F., & Chiclana, P. (2005). A consensus support system model for group decision-making problems with multigranular linguistic preference relations. IEEE Transactions on Fuzzy Systems,13, 644-658.
6. Herrera, F., Martinez, L., & Sanchez, P. J. (2005). Managing non-homogeneous information in group decision making. European Journal of Operational Research, 166, 115-132.
7. Kim, S. H., & Ahn, (1999). Interactive group decision making procedure under incomplete information. European Journal of Operational Research, 116, 498-507.
8. Kim, S. H., Choi, S. H., & Kim, J. K. (1999). An interactive procedure for multiple attribute group decision making with incomplete information: Range-based approach. European Journal of Operational Research, 118, 139-152.
9. Levrat, Voisin, E., A., Bombardier, S., & Bremont, J. (1997). Subjective evaluation of car seat comfort with fuzzy techniques. International Journal of Intelligent Systems, 12, 891-913.
10. Park, K. S. (2004). Mathematical programming models for characterizing dominance and potential optimality when multicriteria alternative values and weights are simultaneously incomplete. IEEE Transactions on Systems, Man, and Cybernetics-Part A, 34, 601-614.
11. Park, K. S., & Kim, S. H. (1997). Tools for interactive multi-attribute decision making with incompletely identified information. European Journal of Operational Researches, 98, 111-123.
12. Torra, V. (1996). Negation functions based semantics for ordered linguistic labels. International Journal of Intelligent systems, 11, 975-988.
13. Torra, V. (2001). Aggregation of linguistic labels when semantics is based on antonyms. International Journal of Intelligent Systems,16, 513-524.
14. Xu, Z. S. (2002). Interactive method based on alternative achievement scale and alternative comprehensive scale for multiple attribute decision making problems. Control and Decision,17, 435-438.
15. Xu, Z. S. (2004a). Uncertain multiple attribute decision making; Methods and applications. Beijing: Tsinghua University Press.
16. Xu, Z. S. (2004b). A method based on linguistic aggregation operators for group decision making with linguistic preference relations. Information Sciences,166, 19-30.
17. Xu, Z. S. (2005). Deviation measures of linguistic preference relations in group decision making. Omega,33, 249-254.
18. Xu, Z. S., & Chen, J. (2006). An interactive method for fuzzy multiple attribute group decision making. Information Sciences (in press).
19. Yager, R. R. (1992). Applications and extensions of OWA aggregations. International Journal of Man- Machine Studied, 37, 103-132.
20. Yager, R. R. (1995). An approach to ordinal decision making. International Journal of Approximate Reasoning, 12, 237-261.
21. Yager, R. R. (1996). Quantifier guided aggregation using OWA operators. International Journal of Intelligent Systems,11, 49-73.
22. Zadeh, L. A., & Kacprzyk, J. (1999). Computing with Words in Information/Intelligent Systems-Part 1: Foundations: Part 2: Applications vol. Heidelberg, Germany: Physica-Verlag.
23. Zimmermann, H. J., & Zysno, P. (1980). Latent connectives in human decision making. Fuzzy Sets and Systems,4, 37-51.