Grey multi-attribute decision-making method based on two-phase optimization

Author

Dang, Luo ; Dixin, Luo ; Naiming, Xie ; Jianling, Wang

Author_Institution

Coll. of Manage. & Econ., North China Univ. of Water Conservancy & Electr. Power, Zhengzhou

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

1301

Lastpage

1304

Abstract

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.

Keywords

decision making; grey systems; quadratic programming; grey multiattribute decision-making method; linear objective programming; quadratic programming; two-phase Optimization; Costs; Decision making; Design engineering; Educational institutions; Energy management; Linear programming; Optimization methods; Power generation economics; Quadratic programming; Water conservation; Decision-making; Grey Method; Multi-attribute; Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Conference_Location

Singapore

ISSN

1062-922X

Print_ISBN

978-1-4244-2383-5

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2008.4811464

Filename

4811464