Volume 6 Number 10 (Oct. 2011)
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JSW 2011 Vol.6(10): 2016-2022
doi: 10.4304/jsw.6.10.2016-2022

Fractional Correlation Distance Method on Course Evaluation

Chunna Zhao 1 , Yu Zhao 2 , Yingshun Li 3 , Liming Luo 1

  • 1 Information Engineering College, Capital Normal University, Beijing, China
  • 2 Yunnan Technician College, Kunming, China
  • 3 Engineering College, Shenyang University of Technology, Liaoyang, China

Abstract

Course evaluation is an important and necessary means to improve the level of course. A new course evaluation method based on fractional grey relational distance and analytic hierarchy process (AHP) is proposed in this paper. Firstly, the proportion of the different influence factors can be determined through constructing judging-matrix and calculating-back-to-one and dealing with the checkout of coherence. Secondly, qualitative evaluation indicators are quantified by fractional-order system, and quantitative indicators are processed by idealization and normalization. And then association coefficient is defined. Finally, correlation distance degree is proposed. The new similarity degree reflects the relatedness and the different shape among a selected scheme, the ideal solution and negative ideal solution. Through the application to actual course assessment instance, the results show its practicability and effectiveness.

Keywords

  • analytic hierarchy process
  • fractional
jsw0610-18

How to Cite

Copied

Chunna Zhao, Yu Zhao, Yingshun Li, and Liming Luo, "Fractional Correlation Distance Method on Course Evaluation," Journal of Software, vol. 6, no. 10, pp. 2016-2022, 2011. https://doi.org/ 10.4304/jsw.6.10.2016-2022

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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