基于粗糙集和SOM神经网络的中国对外贸易环境效应评价

2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI:10.1109/WKDD.2009.80

Zhao Jinana, Xu Zhao, Wu Zhuozheng

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引用次数: 0

摘要

将粗糙集方法(RS)和自组织映射(SOM)相结合，建立了一个混合智能系统，对中国对外贸易的环境效应进行评估。利用粗糙集方法可以得到无信息损失的约简信息表。然后，这些约简信息被用于开发分类规则和训练SOM。2006年中国产品的实验数据验证了该方法的有效性。

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Assessment of Environmental Effect of Chinese Foreign Trade Based on Rough Sets and SOM Nerve Network

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.

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2009 Second International Workshop on Knowledge Discovery and Data Mining

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