The Evaluation of Success Degree in Electric Power Engineering Projects Based on Improved Variable Weight Grey Cluster

Author

Duan, Baoqian ; Zhao, Lijun ; Liu, Qingchao ; Tian, Li

Author_Institution

Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding

fYear

2008

fDate

25-26 Sept. 2008

Firstpage

447

Lastpage

450

Abstract

The paper uses grey system theory and fuzzy mathematics to improve the construction model of membership function in traditional variable weight grey cluster. The new model extends the function of taking value interval, and ensures the result more accuracy and complete. Then we give a success degree evaluation index system and standard value for each index. Last we use improved variable weight grey cluster to evaluate the success degree of electric power engineering projects, and can get a result conforming to reality. The example proved the method is practical.

Keywords

construction; fuzzy set theory; grey systems; power engineering; power plants; electric power engineering construction project; fuzzy mathematics; grey system theory; improved variable weight grey cluster; membership function; power plant construction project; standard value; success degree evaluation index system; Appraisal; Conference management; Design engineering; Energy management; Genetic engineering; Investments; Power engineering and energy; Power engineering computing; Power system modeling; Project management; improved variable weight grey cluster; power electric engineering; success degree evaluation; whitening weight function;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on

Conference_Location

Hubei

Print_ISBN

978-0-7695-3334-6

Type

conf

DOI

10.1109/WGEC.2008.14

Filename

4637482