Research on Online Education Quality Evaluation of E-Commerce Logistics Based on Entropy Weight TOPSIS

The evaluation of online education quality in e-commerce logistics can provide theoretical guidance and practical support for improving education quality, promoting industry development, and enhancing talent quality. However, the establishment of traditional evaluation system structures is complex and subjective, which affects the quality and efficiency of e-commerce logistics online education. Therefore, a study on the quality evaluation of e-commerce logistics online education based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is proposed. Firstly, determine the principles for establishing an online education quality evaluation system and construct an e-commerce logistics online education quality evaluation system. Secondly, the entropy weight TOPSIS method is used to quantify the difference between different e-commerce logistics online education quality data samples through the entropy weight amplitude, calculate the weight of e-commerce logistics online education quality evaluation indicators, determine the entropy weight vector of the evaluation indicators according to the weight of the evaluation indicators, calculate the distance from the evaluation object to the best solution and the worst solution, and rank them. When the distance between the object to be evaluated and the best solution is the smallest, it is the best, Thus, a quality evaluation model for e-commerce logistics online education is constructed. Finally, calculate the evaluation scores of various indicators and incorporate them into the evaluation model to achieve the evaluation of the quality of e-commerce logistics online education. The case analysis results show that the method in this paper can evaluate the quality of e-commerce logistics online education, obtain the high and low order of e-commerce logistics online education quality, and has good performance in the evaluation accuracy and time.