Title :
A New TOPSIS with Triangular Fuzzy Number and Uncertain Weight Based on Cosines Similar Degree
Author_Institution :
Dept. of Math. & Inf. Sci., Leshan Normal Univ., Leshan, China
Abstract :
In order to study the interval multiple attribute decision making problem with triangular fussy number and uncertain weight, this paper presents a new method based on cosines similar degree. The detailed procedure of the proposed algorithm and numerical experiment are given. The proposed algorithm is also compared with an existed algorithm. Compared results show that the proposed algorithm are effective and rational.
Keywords :
decision making; fuzzy set theory; number theory; TOPSIS; cosines similar degree; interval multiple attribute decision making problem; triangular fuzzy number; uncertain weight; Companies; Decision making; Educational institutions; Equations; Indexes; Mathematical model; Standards; Cosines similar degree; Multiple attribute decision making; Square expectation value; Triangular fussy number;
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
DOI :
10.1109/CIS.2012.12
