Title :
Ranking fuzzy numbers with extended fuzzy preference relation
Author :
Lee, Hsuan-Shili
Author_Institution :
Dept. of Shipping & Transp. Manage., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Abstract :
The crux of the paper is to propose a new ranking method based on a preference relation which is not only easy to compute but also preserving some good properties such as additivity. First, we extend the definition of fuzzy preference relation so that the degree of preference is not confined within 0 and 1. With the extension of the definition, we propose an extended fuzzy preference relation satisfying additivity. By additivity, we mean that if the degree of preference of fuzzy number A over fuzzy number B is x and B over C is y then A over C is x+y
Keywords :
computational complexity; fuzzy logic; fuzzy set theory; additivity; complexity; extended fuzzy preference relation; fuzzy number ranking; fuzzy sets; Automatic frequency control; Councils; Fuzzy sets; Oceans; Piecewise linear techniques; Transportation;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.969782
