DocumentCode :
3007513
Title :
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
Link To Document :
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