A University Teachers’ Teaching Performance Evaluation Method Based on Type-II Fuzzy Sets

Xixia Sun, Chao Cai, Su Pan, Nan Bao and Ning Liu
Additional contact information
Xixia Sun: School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Chao Cai: School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Su Pan: School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Nan Bao: School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Ning Liu: School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Mathematics, 2021, vol. 9, issue 17, 1-14

Abstract: This paper proposes a university teachers’ teaching performance evaluation method based on type-II fuzzy sets (T2 FSs), which solves the problems of fuzziness, complexity and uncertainty in teaching performance evaluation. Firstly, the evaluation indicator system is constructed from the aspects of teaching attitude, teaching contents, teaching professionalism, teaching methods and teaching effects. Then, T2 FSs theory and the perceptual computing method are introduced to model subjective judgments and capture uncertainties, effectively handling higher levels of uncertainty in the evaluation process. Furthermore, the linguistic weighted average operator is applied as the computing with words engine to aggregate scores and weights of indicators, which effectively integrates the uncertain information in the input data into the final evaluation conclusion and guarantees the accuracy of the evaluation results. Finally, the effectiveness of the method of this study is evaluated by simulation experiments. The computational results demonstrate that it can capture more uncertain and complex information, and is more accurate and reliable than the type-I fuzzy sets method.

Keywords: teaching performance evaluation; type-II fuzzy sets; computing with words; linguistic weighted average (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/9/17/2126/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/17/2126/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:17:p:2126-:d:627479

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().