Fuzzy Rough Set Model of Rail Freight Center Location
Guangsheng Zhang, Xiao-Min Shi · 2013
Based on characteristics of railway freight, this paper selects an index system of rail freight center location comprehensively. Then based on rough set theory, this paper establishes a knowledge base of rail freight center location, discretizes data, and extracts key indicators by using equidistance method and attribute reduction method. This paper effectively analyzes the position of China's railway freight and calculates the importance of each key indicator. The result shows that when we select the rail freight center location, we can start directly from the index data itself. This can avoid the influence of subjective factors, improve reliability and validity of the prediction, and provide a reasonable theoretical basis for policies to determine railway cargo center.