Research on the selection model for online merchandise based on rough set

In order to quickly And the satisfied goods when shopping online, this paper analyses the attributes of the goods, and seizes the necessary attribute based on the theory of rough set attribute reduction. So we can just consider the necessary attributes of the goods when shopping online and get satisfied goods in a short time. This paper details all parts of the method. Firstly, we establish a new evaluation index system for online product selection. Secondly, based on these we use rough set attribute reduction to establish the model of online merchandise selection. Finally, this paper verifies the model through an example of Taobao women selection.