The Research on Multi-Level Theses Evaluation Model Based on Fuzzy Cluster Analysis

Abstract:

The traditional process of thesis evaluation is of subjectivity and differences of teachers’ qualifications and backgrounds. Considering these characteristics, this paper proposes a multi-level theses evaluation model based on fuzzy cluster analysis with the idea of fuzzy mathematics. In this model, it evaluates the teachers’ qualification first to determine the weight of various teachers’ evaluation to the thesis; then stratifies theses evaluation indicators, and according to the results of various indicators, it builds a fuzzy equivalent matrix, and ultimately selects the appropriate similarity coefficient to divide the theses into excellent, good, moderate, bad four grades. This model greatly improves the scientificalness and objectivity of the traditional theses evaluation process and provides a reference for the process.

• Periodical: Applied Mechanics and Materials (Volumes 190-191)
• Pages: 1083-1089
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.190-191.1083
• Online since: July 2012
• Authors: Xiao Ping Li, Si Chen, Hui Jie Cui, Chun Hui Liang, Feng Liu, Xu Mao, Zheng Hong Wang
• Keywords: Fuzzy Cluster Analysis, Fuzzy Mathematics, Teacher Evaluation, Thesis Evaluation

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