Grey Multi-attribute Decision-making Method based on two-phase Optimization

被引：0
|
作者：
Luo Dang [1 ]
Luo Dixin [2 ]
Xie Naiming [3 ]
Wang Jianling [3 ]
机构：
[1] North China Univ Water Conservancy & Elect Power, Coll Management & Econ, Zhengzhou, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Econ & Management Coll, Nanjing 210016, Peoples R China
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6 | 2008年
基金：
中国国家自然科学基金;
关键词：
Grey Method; Multi-attribute; Decision-making; Optimization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The authors researches the grey multi-attribute problem, in which the attribute weights and the attribute values are interval numbers, and states the decision-making method based on two-phase optimization. Firstly, a linear objective programming model is established by considering in local, and ideal attribute weight of each alternative is obtained by solving the model. Secondly, a quadratic programming model is established by considering in whole, and the solving formula of the attribute weights is given. Therefore, the complex attribute value of each alternative is obtained. Based on these values, the prioritizing or optimization for alternatives is made. Finally, a practical example is given to show the feasibility and availability of the method.
引用
收藏
页码：1300 / +
页数：2
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