A unified view of ranking techniques for fuzzy numbers

The paper provides a structured discussion of the numerous approaches which have been proposed for ranking fuzzy numbers. Emphasis is put on principles rather than on technical details or on computational issues for the sake of brevity. This structured presentation provides a basis for comparing fuzzy ranking methods.

[1]  G. Bortolan,et al.  A review of some methods for ranking fuzzy subsets , 1985 .

[2]  Marc Roubens,et al.  Ranking and defuzzification methods based on area compensation , 1996, Fuzzy Sets Syst..

[3]  K. Kim,et al.  Ranking fuzzy numbers with index of optimism , 1990 .

[4]  Piero P. Bonissone,et al.  A Linguistic Approach to Decisionmaking with Fuzzy Sets , 1980, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  S. M. Baas,et al.  Rating and ranking of multiple-aspect alternatives using fuzzy sets , 1976, at - Automatisierungstechnik.

[6]  J. Baldwin,et al.  Comparison of fuzzy sets on the same decision space , 1979 .

[7]  Richard M. Tong A Linguistic Approach to Decisionmaking with Fuzzy Sets , 1993 .

[8]  Lourdes Campos,et al.  Linear programming problems and ranking of fuzzy numbers , 1989 .

[9]  Ramesh C. Jain A procedure for multiple-aspect decision making using fuzzy sets , 1977 .

[10]  H. Lee-Kwang,et al.  Ranking fuzzy values with satisfaction function , 1994 .

[11]  Shan-Huo Chen Ranking fuzzy numbers with maximizing set and minimizing set , 1985 .

[12]  Ronald R. Yager,et al.  A procedure for ordering fuzzy subsets of the unit interval , 1981, Inf. Sci..

[13]  Didier Dubois,et al.  Ranking fuzzy numbers in the setting of possibility theory , 1983, Inf. Sci..

[14]  Anthony N. S. Freeling Fuzzy Sets and Decision Analysis , 1980, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  James J. Buckley A fuzzy ranking of fuzzy numbers , 1989 .

[16]  José L. Verdegay,et al.  Automatic ranking of fuzzy numbers with the criterion of a decision-maker learnt by an artificial neural network , 1994 .