E-commerce logistics provider selection based on multi-criteria decision-making approach with uncertain information

Logistics provider selection is a multi-criteria decision-making problem faced by e-commerce companies. Considering the complexity of the problem and the uncertainty of the decision information, an integrated approach of GTOPSIS is proposed for evaluating and selecting the most suitable logistics provider. The GTOPSIS approach integrates the three-parameter interval grey number (T-PIGN) into the technique for order preference by similarity to ideal solution (TOPSIS). It allows decision-makers to use T-PIGN to represent the performance of the alternatives which can retain and utilise the original uncertain assessment information of alternatives to the greatest extent. Besides, the PERT distribution is adopted to weight the three parameters of T-PIGN. A real-life case study is presented to demonstrate the practicality and effectiveness of the GTOPSIS approach.