TITLE:
A Quality Evaluation System for Dissertation Based on Fuzzy Analytic Hierarchy Process
AUTHORS:
Kang Xu, Zhenhao Zhang, Shuo Wang, Yunhui Lv, Jiafei Li, Xiaodan Cai, Yongchun Cui
KEYWORDS:
Dissertation, Quality Evaluation, Indicator System, Fuzzy Analytic Hierarchy Process, Case Study
JOURNAL NAME:
Applied Mathematics,
Vol.15 No.7,
July
11,
2024
ABSTRACT: A dissertation is a research report or scientific paper written by an author to obtain a certain degree. It reflects postgraduates’ research achievements and the educational quality of an institute, even a country. To construct an optimized quality evaluation system for postgraduate dissertation (QESPD), we summarized the influencing factors and invited 10 experienced specialists to rate and prioritize them based on fuzzy analytic hierarchy process. Four primary indicators (innovation, integrity, scientificity and normativity) and 16 sub-indicators were selected to form the evaluation system. The order of primary indicators by weight, was innovation (0.4269), scientificity (0.2807), integrity (0.1728) and normativity (0.1196). The top five sub-dimensions were theoretical originality, scientific value, data reliability, design rationality and evidence credibility. To demonstrate the effectiveness of the proposed system, a case study was performed. In the case study, it was demonstrated that the established two-index-hierarchy QESPD in this study was a more scientific and reasonable evaluation system worthy of promotion and application.