New approach to determine the priorities from interval fuzzy preference relations

Journal of Systems Engineering and Electronics

Volumn 22, Issue 2, 2011, Pages 267-273

  Yue, Qi ^a   Fan, Zhiping ^a   Shi, Lihua ^b  

^a NORTHEASTERN UNIVERSITY   (China)

^b GUANGXI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Consistency; Interval fuzzy preference relation; Priority; Weak transitivity

Indexed keywords

CONSISTENCY; FUZZY PREFERENCE RELATIONS; INTERVAL NUMBER; NEW APPROACHES; PRIORITY; TWO-PHASE PROCESS; WEAK TRANSITIVITY;

EID: 79954544206     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1004-4132.2011.02.013     Document Type: Article

References (19)

1. S. J. Chen, C. L. Hwang. Fuzzy multiple attribute decision making. New York: Springer, 1992.
2. C. L. Hwang, K. Yoon. Multiple attribute decision making: methods and applications. Berlin: Springer, 1981.
3. T. L. Saaty. The analytic hierarchy process. New York: McGraw-Hill, 1980.
4. Z. P. Fan, S. H. Xiao, G. F. Hu. An optimization method for integrating two kinds of preference information in group decision-making. Computers and Industrial Engineering, 2004, 46(2): 329-335.
5. J. Ma, Z. P. Fan, Y. P. Jiang, et al. A method for repairing the inconsistency of fuzzy preference relations. Fuzzy Sets and Systems, 2006, 157(1): 20-33. (Pubitemid 41525536)
6. Z. P. Fan, J. Ma, Y. P. Jiang, et al. A goal programming approach to group decision making based on multiplicative preference relations and fuzzy preference relations. European Journal of Operational Research, 2006, 174(1): 311-321. (Pubitemid 44866849)
7. Y. M. Wang, Z. P. Fan. Fuzzy preference relations aggregation and weight determination. Computers and Industrial Engineering, 2007, 53(1): 163-172.
8. A. Sengupta, T. K. Pal. On comparing interval numbers. European Journal of Operational Research, 2000, 127(1): 28-43.
9. Z. S. Xu, J. Chen. Some models for deriving the priority weights from interval fuzzy preference relations. European Journal of Operational Research, 2008, 184(1): 266-280. (Pubitemid 47368918)
10. F. Liu, J. B. Lan, L. H. Shi. An approach for interval number priority weight based on convex-combination and possibility degree. Fuzzy Systems and Mathematics, 2008, 22(4): 112-119. (in Chinese)
11. E. Blankmeyer. Approaches to consistency adjustment. Journal of Optimization Theory and Applications, 1987, 54(3): 479-489.
12. H. Ishibuchi, H. Tanaka. Multiobjective programming in optimization of the interval objective function. European Journal of Operational Research, 1990, 48(2): 219-225.
13. X.W. Liu, S. L. Han. Ranking fuzzy numbers with preference weighting function expectations. Computers and Mathematics with Applications, 2005, 49(11-12): 1731-1753.
14. C. X. Wang, S. Webster. The loss-averse newsvendor problem. Omega, 2009, 37(1): 93-105.
15. S. A. Orlovsky. Decision-making with a fuzzy preference relation. Fuzzy Sets and Systems, 1978, 1(3): 155-167.
16. T. Tanino. Fuzzy preference orderings in group decision making. Fuzzy Sets and Systems, 1984, 12(2): 117-131. (Pubitemid 14569423)
17. E. Herrera-Viedma, F. Herrera, F. Chiclana, et al. Some issues on consistency of fuzzy preference relations. European Journal of Operational Research, 2004, 154(1): 98-109.
18. J. B. Lan, Y. Xu, L. A. Huo, et al. Research on the priorities of fuzzy analytical hierarchy process. Systems Engineering-Theory & Practice, 2006, 26(9): 107-112. (in Chinese) (Pubitemid 44766639)
19. J. B. Lan, Z. X. Wang, Q. Yue. A logic relation of elements in fuzzy complementary judgment matrix with parameter and priorities. Guangxi Sciences, 2007, 14(3): 213-216. (in Chinese)