The Weighted Averaging Algorithm to Multiple Attribute Decision-making Within Triangular Fuzzy Numbers

被引：0
|
作者：
Zhou, Qingjian [1 ]
Jiao, Jia [1 ]
机构：
[1] Dalian Nationalities Univ, Dalian 116600, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND INFORMATION SCIENCES (ICCIS 2014) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the weighted averaging algorithm is proposed to solve the multiple attribute decision-making with attribute value in the form of triangular fuzzy number, which is one important kind of multiple attribute decision-making. Firstly, all the attribute values in the form of triangular fuzzy numbers are translated into real numbers with their mathematical expectations to express their attribute values. Secondly, the multiple attribute decision-making problems with triangular fuzzy attribute values can be transformed into the problems with their mathematical expectations, and then the weighted averaging algorithm is adopted to rank all alternatives as well as select the best. Finally, a numerical example is given. The approach proposed in the paper can very well solve multiple attribute decision-making with attribute values in the form of triangular fuzzy numbers, so it is feasible and valid.
引用
收藏
页码：657 / 662
页数：6
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