A fuzzy ranking method by desirability index

Journal of Intelligent and Fuzzy Systems

Volumn 17, Issue 1, 2006, Pages 27-34

  Nojavan, Majid ^a   Ghazanfari, Mehdi ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Fuzzy numbers; Fuzzy ranking; Fuzzy sets

Indexed keywords

SET THEORY;

FUZZY NUMBERS; FUZZY RANKING METHOD; FUZZY REFERENCE SETS;

FUZZY CONTROL;

EID: 33644556517     PISSN: 10641246     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. S.M. Baas and H. Kwakernaak, Rating and ranking of multiple aspect alternative using fuzzy sets, Automatica 13 (1977), 47-58.
2. J.F. Baldwin and N.C.F. Guild, Comparison of fuzzy sets on the same decision space, Fuzzy Sets and Systems 2 (1979), 213-231.
3. O. Bortolan and R.A. Degani, Review of some methods for ranking fuzzy subsets, Fuzzy Sets and Systems 15 (1985), 1-19.
4. L.M. Campos Ibanes and A. Gonzalez Munoz, A subjective approach for ranking fuzzy numbers, Fuzzy Sets and Systems 29 (1989), 145-153.
5. S. Chen and C. Hwang, Fuzzy Multiple Attribute Decision-Making: Methods and Applications, Springer - Verlag, Berlin/Heidelberg, 1992, 102-105.
6. C.H. Cheng, A new approach for ranking fuzzy numbers by distance method, Fuzzy Sets and Systems 95 (1998), 307-317.
7. D. Dubois and H. Prade, Ranking of fuzzy number in the setting of possibility theory, Information Science. 30 (1983), 183-224.
8. P. Fortemps and M. Roubens, Ranking and defuzzification methods based on area compensation, Fuzzy Sets and Systems 82 (1996), 319-330.
9. A.N.S. Freeling, Decision analysis and fuzzy sets, Master Thesis, Cambridge University, England, 1979.
10. K. Kim and K.S. Park, Ranking fuzzy numbers with index of optimism, Fuzzy Sets and Systems 35 (1990), 143-150.
11. C.B. Kim, K.A. Seong and H. Lee-Kwang, Design and implementation of fuzzy elevator group control system, IEEE Transaction Systems, Man, Cybernetic 28(Part A) (1998), 277-287.
12. E.S. Lee and R.L. Li, Comparison of fuzzy numbers based on probability measure of fuzzy events, Computer and Mathematics with Applications 15 (1988), 887-896.
13. T.S. Liou and M.J. Wang, Ranking fuzzy numbers with integral value, Fuzzy Sets and Systems 50 (1992), 247-255.
14. C. Mc-Cahone, Fuzzy set theory applied to production and inventory control, PhD Thesis, Department of Industrial Engineering, Kansas State University, 1987.
15. M. Modarres and S. Sadi-Nejad, A new fuzzy ranking method by preference ratio, Fuzzy Sets and Systems 118 (2001), 429-436.
16. V. Peneva and I. Popchev, Comparison of clusters from fuzzy numbers, Fuzzy Sets and Systems 97 (1998), 75-81.
17. K. Sengupta, Fuzzy preference and Orlovsky choice procedure, Fuzzy Sets and Systems 93 (1998), 231-234.
18. T.Y. Tseng, C.M. Klein and M.S. Leonard, A formalism, for comparing ranking procedures, Proceeding of the 7th Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS, 1988, 231-235.
19. K.P. Yoon, A probabilistic approach to rank complex fuzzy numbers, Fuzzy Sets and Systems 80 (1996), 167-176.
20. L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965), 338-353.