Title :
A Novel Method of Ranking Fuzzy Numbers for Decision-making Problems
Author :
Lian, Zhigang ; Jiao, Bin ; Gu, Xingsheng
Author_Institution :
Res. Inst. of Autom., East China Univ. of Sci. & Technol., Shanghai
Abstract :
Ranking fuzzy numbers is important for decision-making problems in a fuzzy environment since the measurements are imprecise in nature. In this paper one new method of ranking fuzzy numbers was proposed by using the angle of triangular and trapezoidal fuzzy number besides alpha-cuts of fuzzy number. Ranking-maker´s preference is considered and membership functions of fuzzy numbers don´t need to be known before ranking. The results of some preliminary numerical experiments show the discrimination is valid. This new way is simple and efficient for the calculation and comparison
Keywords :
decision making; fuzzy set theory; decision making problem; fuzzy number ranking; membership function; trapezoidal fuzzy number; triangular fuzzy number; Artificial intelligence; Automation; Data analysis; Decision making; Electric variables measurement; Embedded computing; Fuzzy sets;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.71
