Evaluation Indexes Selection of Graduate Re-Examination in Military Academies Based on Fuzzy Clustering Analysis

Abstract:

The re-examination is an important part of the graduate record examination and a basic link of assuring the student quality. Consequently, research on retest evaluation systems is significant and necessary. This paper uses fuzzy clustering analysis which is based on a reasonable membership function to analyze the graduate re-examination in military academies. Furthermore, the kin index is selected by corresponding indexes. Finally a brief and scientific evaluation index is obtained reasonably. These provide good references for the military graduate admission.

• Periodical: Applied Mechanics and Materials (Volume 614)
• Pages: 291-298
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.614.291
• Online since: September 2014
• Authors: Li Juan Gu*, Biao Li, Hui Jing Sun, Chao Dong, Tao Wang
• Keywords: Fuzzy Clustering, Graduate Students, Membership Function, Re-Examination

References

[1] Miao XU. Study on quality and capacity evaluation in graduate students enrollment for the second round of examinations. Journal of Beijing University of Aeronautics and Astronautics (Social Sciences Edition), 2007, 20: 4-8. (In Chinese).

[2] Yuan Gao, Ping Sun, Yu-fen Chen. Systemic defects of graduate examination for admission into master degree in China and improving policies. Journal of Northeastern University (Social Science). 2008, 10, 2, 166-169. (In Chinese).

[3] Yuan Gao, Ping Sun, Yu-fen Chen. Systemic defects of graduate examination for admission into master degree in China and improving policies. Journal of Northeastern University (Social Science). 2008, 10, 2, 166-169. (In Chinese).

[4] Li-min Ye, Hong-biao Qi. Constructing a graduate re-examination system in military academies. Journal of naval university of engineering, 2012, 9(1): 59-63. (In Chinese).

[5] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 2011, 5: 146–166.

DOI: 10.1016/j.joi.2010.10.002

[6] H. j. Zimmermann. Fuzzy set, decision making and expert system. Boston: Kluwer Academic Publishers, (1987).

[7] Yun Peng, Cheng-qi Nie. Clustering technique based on fuzzy set in personal customer of commercial bank. Computer Engineering and Design, 2006, 27 (24): 4674-4676. (In Chinese).

[8] S. Tamura, S. Higuchi and K. Tanaka, Pattern classification based on fuzzy relations, IEEE nuns. Syst. Man Cybern, 1971, 1 (1): 61-66.

DOI: 10.1109/tsmc.1971.5408605

[9] Miao Xu. The design of standardized index system in admission re-examination for graduate students. Journal of Hubei University for Nationalities (Philosophy and Social Sciences), 2008, 26 (3): 133-137. (In Chinese).

[10] Jun-li Zeng, Yu-lin Liu, Zhi Li. Optimization of interview techniques for enrollment of good graduate students. Journal of Graduate Education, 2011, 1: 39-42. (In Chinese).