关键词: 物流资源, 数据挖掘, 粗糙集, 分类方法, 属性约简

Abstract: Considering the practical problems of poor invoking efficiency and low matching accuracy in the resources optimal allocation and organization scheduling links of the logistics industry, taking classification standard of logistics resources as an entry point, based on the existing system of the industry resources classification and in combination with the actual sample data, a classification method of logistics resources based on rough set is developed. Firstly, guided by the rough set theory, the attribution of logistics resources is reduced. The resource is classified from the angle of data mining based on the attribute significance. Finally, the resource classification rules providing the theory basis of logistics resources integration is formatted. A case is given to demonstrate the effectiveness of the classification method.

Key words: logistics resources, data mining, rough set, classification method, attribute reduction