DocumentCode :
3358584
Title :
Research on Grey Relation Analysis Model Based on Projection Pursuit Coupling Model
Author :
Wang Shuo ; Ma Xi-Jun ; Yang Shan-lin
Author_Institution :
Sch. of Liberal Arts & Econ., Hefei Univ. of Technol., Hefei
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
4
Abstract :
By using multi-criteria projection pursuit coupling model based on the principle of maximum entropy, multidimensional grey relation analysis values can be integrated into the projection value of single dimension which indicates the advantage of each scheme, so the schemes sample can be optimized according to the projection value of each scheme, the larger it is, the better the scheme is. In order to find out a new method for the application of the projection pursuit coupling technique in the grey relation analysis scheme optimization, real coded accelerating genetic algorithm can be used to optimize the projection pursuit coupling model, to simplify the implementation process of the projection pursuit coupling technique, and to overcome its calculation complexity and the difficulty of its programming implementation.
Keywords :
genetic algorithms; grey systems; maximum entropy methods; grey relation analysis model; grey relation analysis scheme optimization; maximum entropy; multi-criteria projection pursuit coupling model; multidimensional grey relation analysis; real coded accelerating genetic algorithm; Acceleration; Algorithm design and analysis; Art; Biological system modeling; Computer networks; Entropy; Genetic algorithms; Information analysis; Multidimensional systems; Optimization methods;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/APPEEC.2009.4918688
Filename :
4918688
Link To Document :
بازگشت