Open Access

ARTICLE

Multidimensional Quality Evaluation of Graduate Thesis: Based on the Probabilistic Linguistic MABAC Method

Yuyan Luo^1,2, Xiaoxu Zhang^1,*, Tao Tong¹, Yong Qin^3,*, Zheng Yang¹

1 College of Management Science, Chengdu University of Technology, Chengdu, 610059, China
2 Post-Doctorate R&D Base of Management Science and Engineering, Chengdu University of Technology, Chengdu, 610059, China
3 Business School, Sichuan University, Chengdu, 610064, China

* Corresponding Authors: Xiaoxu Zhang. Email: ; Yong Qin. Email:

(This article belongs to the Special Issue: Linguistic Approaches for Multiple Criteria Decision Making and Applications)

Computer Modeling in Engineering & Sciences 2023, 137(2), 2049-2076. https://doi.org/10.32604/cmes.2023.025413

Received 11 July 2022; Accepted 10 February 2023; Issue published 26 June 2023

Abstract

Graduate education is the main way to train high-level innovative talents, the basic layout to cope with the global talent competition, and the important cornerstone for implementing the innovation-driven development strategy and building an innovation-driven country. Therefore, graduate education is of great remarkably to the development of national education. As an important manifestation of graduate education, the quality of a graduate thesis should receive more attention. It is conducive to promoting the quality of graduates by supervising and examining the quality of the graduate thesis. For this purpose, this work is based on text mining, expert interviews, and questionnaire surveys to obtain the factors influencing the quality of a graduate thesis first. Then, through three rounds of expert consultation, a multidimensional evaluation indicator system for the graduate thesis quality is built. Furthermore, probabilistic linguistic term sets (PLTSs) are utilized to obtain the initial evaluation information and apply the stepwise weight assessment ratio analysis method to determine the weights of attributes. In the ensuing step, the novel multi-attribute border approximation area comparison based on the PLTS method is established. Finally, the proposed method is employed in a case study concerning the quality evaluation of a graduate thesis and the effectiveness of this approach is further illustrated.

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Keywords

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