Application of Triangular Fuzzy Analytic Hierarchy Process in Combination with Normal Function in MOOC Evaluation
- DOI
- 10.2991/978-94-6463-040-4_9How to use a DOI?
- Keywords
- Normally distributed membership function; triangular fuzzy analytic hierarchy process; fuzzy comprehensive evaluation
- Abstract
In this study, a three-level fuzzy comprehensive MOOC quality evaluation model based on the triangular fuzzy analytic hierarchy process (AHP) was constructed, aiming to improve MOOC quality. In this model, AHP was improved by introducing the theory of triangular fuzzy number. Next, the triangular fuzzy AHP was adopted to determine the index weight at each layer, which overcame the strong expert subjectivity in assigning values and the poor consistency of judgment matrices. Moreover, normally distributed membership functions were used to determine the degree of membership for each factor, thus contributing to the more reasonable and reliable single-factor evaluation and the more accurate final evaluation results. Thereby, the overwhelming problem of single-factor information resulting from excessive factors was solved through a three-level comprehensive evaluation. In addition, the modeling method was expounded with the navigation specialty in higher vocational schools as an example. Finally, its scientificity, reasonability, and practicability were verified through an example.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jun Li PY - 2022 DA - 2022/12/27 TI - Application of Triangular Fuzzy Analytic Hierarchy Process in Combination with Normal Function in MOOC Evaluation BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 48 EP - 58 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_9 DO - 10.2991/978-94-6463-040-4_9 ID - Li2022 ER -