Title :
Anti-dumping Early-Warning Model Based on Entropy Weight and SOM
Author :
Liu, Mei ; Zhao, Jianna
Author_Institution :
Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding, China
Abstract :
A new anti-dumping early-warning system for the export of China´s products is presented, which is based on entropy weight method and SOM neutral network. It is different from traditional modeling methods. We can acquire the indexpsila weight by entropy method, and then, the indexes in which the weight are decided are used to develop classification rules and train SOM nerve network. The result of the positive research indicated that this system is very valid for anti-dumping prediction and it will have a good application prospect in this area.
Keywords :
classification; electronic commerce; entropy; self-organising feature maps; China products; SOM; antidumping early-warning model; classification rules; entropy weight; index weight; Data mining; Electronic mail; Entropy; Humans; Information systems; Intelligent networks; Neurons; Power engineering and energy; Power system modeling; Training data; SOM; anti-dumping; early-warning; entropy; regional economy;
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
DOI :
10.1109/BIFE.2009.24
