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Experimental Teaching Quality Evaluation Practice Based on AHP-Fuzzy Comprehensive Evaluation Model

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Intelligent Computing Theories and Technology (ICIC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7996))

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Abstract

In this thesis, we use the integration method of AHP and fuzzy comprehensive evaluation as the evaluation model for the experimental teaching evaluation system. First, we build a hierarchy model and calculate the weigh of evaluation factor by AHP, and then execute hierarchical the evaluation and obtain the total evaluation results by fuzzy comprehensive evaluation. Finally, we compare the evaluation results with the machine test scores of the final grade examination, students’ evaluation of classroom teaching evaluation. The result reflects the effectiveness, maneuverability, and fairness of the model.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Guangxi Key Laboratory of Hybrid Computational and IC Design Analysis, Guangxi University for Nationalities, Nanning, 530006, China

    Yinjuan Huang & Liujia Huang

Authors
  1. Yinjuan Huang
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  2. Liujia Huang
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Electrical Engineering, University of Ulsan, 680-749 #7-413, San 29, Muger Dong, Ulsan, South Korea

    Kang-Hyun Jo

  3. Guangxi University for Nationalities, 530006, Nanning, Guangxi, China

    Yong-Quan Zhou

  4. School of Computer Science and Engineering, Inha University, 402-751, Incheon, South Korea

    Kyungsook Han

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© 2013 Springer-Verlag Berlin Heidelberg

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Huang, Y., Huang, L. (2013). Experimental Teaching Quality Evaluation Practice Based on AHP-Fuzzy Comprehensive Evaluation Model. In: Huang, DS., Jo, KH., Zhou, YQ., Han, K. (eds) Intelligent Computing Theories and Technology. ICIC 2013. Lecture Notes in Computer Science(), vol 7996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39482-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-39482-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39481-2

  • Online ISBN: 978-3-642-39482-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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