The disposal of incomplete classification data in teaching evaluation system

Authors:
Li Ping;Duan Fu
Affiliations:
Department of Computer Science and Technology, YunCheng University, Yuncheng, Shanxi, China;College of Computer and Software, TaiYuan University of Technology, Taiyuan, Shanxi, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 2
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Towards optimal use of incomplete classification data

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Abstract

In view of the complexity, ambiguity and multifactor of teaching evaluation, it is an important topic that classification is applied to the domain. In the field of classification, incomplete data is one of thorny issues. There have been many methods to deal with the problem in many studies. In the paper, the MVCM is introduced particularly. It fills these observations with incomplete data by constructing fuzzy members. The member of fuzzy set with maximum probability is exactly the replacement. Experiments are conducted on students' achievement data set to demonstrate the solution.