Title :
Assessment of Environmental Effect of Chinese Foreign Trade Based on Rough Sets and SVM
Author :
Zhao, Xu ; Wu Zhuozheng ; Xu Zhao
Author_Institution :
Sch. of Bus. & Adm., North China Electr. Power Univ.
Abstract :
A hybrid intelligent system is applied to assess the environment effect of Chinese foreign trade, combining rough set approach and support vector machines (SVM). We can get reduced information table with no information loss by rough sets approach. And then, this reduced information is used to develop classification rules and train SVM. The effectiveness of our methodology was verified by experiments comparing BP neural networks with our approach.
Keywords :
international trade; macroeconomics; pattern classification; rough set theory; support vector machines; BP neural network; Chinese foreign trade environmental effect assessment; classification rule; hybrid intelligent system; information table; rough set theory; support vector machine training; Economic forecasting; Environmental economics; Hybrid intelligent systems; Information systems; International trade; Neural networks; Power system modeling; Rough sets; Support vector machine classification; Support vector machines; Rough Sets; SVM; environment effect; foreign trade;
Conference_Titel :
Modelling, Simulation and Optimization, 2008. WMSO '08. International Workshop on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3484-8
DOI :
10.1109/WMSO.2008.82
