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

fYear

2009

fDate

24-26 July 2009

Firstpage

61

Lastpage

64

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on

Conference_Location

Beijing

Print_ISBN

978-0-7695-3705-4

Type

conf

DOI

10.1109/BIFE.2009.24

Filename

5208934