Title :
The New Evaluation Model of Bidder´s Competitiveness Based on RS-SVM
Author :
Yuan, Xiu-E ; Sun, Xiaoya
Author_Institution :
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding
Abstract :
This paper put forward and experienced an effective evaluation method of bidder´s competitiveness based on rough set and support vector machine algorithm. The model make rough set to reduce the indexes in the comprehensive evaluation system, thus reducing the dimensions of the input space of SVM, when treating the reduced data as the input space of SVM, the convergence speed and the classify accuracy can be enhanced obviously. Evaluation model proposed in this paper is applied in real example. The result shows that it can evaluate the level of competitiveness accurately, with good evaluation efficiency.
Keywords :
power engineering computing; power markets; rough set theory; support vector machines; SVM; bidder competitiveness; construction market; rough set algorithm; support vector machine algorithm; Convergence; Data analysis; Energy management; Large-scale systems; Neural networks; Power system management; Power system modeling; Sun; Support vector machine classification; Support vector machines;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918890