Improved Closed-Loop Subspace Identification with Prior Information Using Principal Component Analysis and Column Weighting

Research on layout optimization of logistics network of metropolitan area based on hub-and-spoke theory

“…In order to make the evaluation results objective and comprehensive, the selection of evaluation indicators involves four aspects: regional economy, industrial development, transportation facilities and logistics industry development, and there is a certain overlap of information reflected by these indicators, and there are also problems such as nonuniformity of the scale and how to determine the weight coefficients when accumulating, which makes the evaluation work relatively complicated [9] . Using principal component analysis method, the comprehensive information of the sample is reflected by finding the comprehensive indicators of the sample, which achieves the effect of condensing the information and solving the problem of determining the weights, making the problem simpler [10] . Therefore, the principal component analysis method is used to quantify the advantages of the conditions for each city in the metropolitan area to become a logistics node city in the metropolitan area, and the basic steps of the analysis are as follows:…”