Open AccessResearch on the Quality Evaluation for Training of Undergraduate Majoring in Logistics Management and Engineering Based on Improved TOPSIS Method
Author(s) -
Tiezheng Nie
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1931/1/012004
Subject(s) - topsis , quality (philosophy) , logistics management , engineering management , analytic hierarchy process , computer science , rank (graph theory) , engineering , mathematics , operations research , process management , philosophy , epistemology , combinatorics
In view of the Training Quality of Undergraduate Majoring in Logistics Management and Engineering, an improved TOPSIS method based on combinatorial weight is proposed to evaluate the training quality of undergraduate majoring in logistics management and engineering. Firstly, the paper studies and analyses the related literatures of training quality of undergraduate majoring in logistics management and engineering, and puts forward a set of evaluation of training quality indicator system for the undergraduate majoring in logistics management and engineering. Secondly, the objective weight and subjective weight of each indicator are determined by using the variable coefficient method based on mixed data and the improved AHP method based on triangular fuzzy number, and on this basis, the combined weight of each indicator is calculated by using the maximum method of comprehensive evaluation value. After that, the improved TOPSIS method is used to rank the training quality for undergraduate majoring in logistics management and engineering.