DocumentCode
483337
Title
Assessment of Environmental Effect of Chinese Foreign Trade Based on Rough Sets and SOM Nerve Network
Author
Zhao, Xu ; Xu Zhao ; Wu Zhuozheng
Author_Institution
Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding
fYear
2009
fDate
23-25 Jan. 2009
Firstpage
925
Lastpage
928
Abstract
A hybrid intelligent system is applied to assess the environment effect of Chinese foreign trade, combining Rough Set approach (RS) and self organizing map (SOM). We can get reduced information table with no information loss by Rough Set approach. And then, this reduced information is used to develop classification rules and train SOM. The effectiveness of our methodology was verified by experiments data of Chinese product in 2006.
Keywords
rough set theory; Chinese foreign trade; SOM nerve network; hybrid intelligent system; rough sets; Data mining; Economic forecasting; Environmental economics; Environmental factors; Hybrid intelligent systems; Information systems; International trade; Organizing; Power generation economics; Rough sets; Rough Sets; SOM; environment effect; foreign trade;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location
Moscow
Print_ISBN
978-0-7695-3543-2
Type
conf
DOI
10.1109/WKDD.2009.80
Filename
4772085
Link To Document