NODE SELECTION AND EVALUATION IN TRANSPORTATION CORRIDORS BASED ON ROUGH SETS THEORY

The selection of nodes is the first step of regional comprehensive transportation corridor planning and is also a step of vital importance. This paper analyzes the factors that affect the demand of nodes and builds an evaluation index system. Then this paper uses rough sets theory to deal with the index dates, which can determine the weight and avoid the overlap of indexes by attribute reduction at the same time. The optimal order of nodes is calculated based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model to provide the reference for nodes selection and nodes classifying. Finally, this paper shows the algorithm and tests the applicability of the model through case analysis.