Title :
A New Method for Interval Multiple Attribute Decision Making Based on Minimum Variance and Approach Degree
Author_Institution :
Coll. of Math. & Inf. Sci., Leshan Normal Univ., Leshan, China
Abstract :
In order to study the interval multiple attribute decision making problem, this paper presents a new method based on variance and approach degree. The detailed procedure of the proposed algorithm and numerical experiment are given. Also the proposed algorithm is compared with an existed algorithm. Compared results show that the proposed algorithm is effective and feasible.
Keywords :
decision making; numerical analysis; approach degree; interval multiple attribute decision making problem; minimum variance; Companies; Decision making; Educational institutions; Fuzzy sets; Humans; Indexes; Vectors; Approach degree; Interval number; Multiple attribute decision making; Variance;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.314
