Neutrosophic SuperHyperSoft Set Approach for Evaluating Teacher Education Quality in Normal Universities

Authors

  • Yaohua Kang School of Education, Xinyang University, Xinyang, Henan, 464000, China
  • Ning Qin School of Education, Xinyang University, Xinyang, Henan, 464000, China

Keywords:

Multi-criteria evaluations; SuperHyperSoft Set; Teacher education; Quality analysis

Abstract

This paper introduces a novel approach to evaluate the quality of teacher 
education in normal universities by employing the SuperHyperSoft Set (SHSS) 
framework an extension of the HyperSoft Set, originally proposed by Florentin 
Smarandache. SHSS operates on powersets of attribute values, enabling more 
comprehensive multi-criteria evaluations. The methodology captures the interplay 
between teaching effectiveness, curriculum design, professional development, and 
student feedback. Mathematical models, including neutrosophic extensions, are 
developed to quantify quality and manage uncertainty. Numerical examples and 
comparative analyses validate the approach, revealing significant quality variations 
across institutions and providing actionable insights for improvement. This study 
enhances soft computing applications in educational evaluation. 

 

DOI: 10.5281/zenodo.15468013

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Published

2025-08-01

Issue

Vol. 86 (2025): Neutrosophic Sets and Systems

Section

Article

License

Copyright (c) 2025 Neutrosophic Sets and Systems

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Yaohua Kang, & Ning Qin. (2025). Neutrosophic SuperHyperSoft Set Approach for Evaluating Teacher Education Quality in Normal Universities. Neutrosophic Sets and Systems, 86, 303-311. https://fs.unm.edu/nss8/index.php/111/article/view/6388