Application of the SuperHyperSoft Set for Comprehensive Teaching Quality Analysis in College English Translation Courses for Enhanced Learning Results

Authors

  • Jianguo Liu School of Foreign Languages, Henan University of Science and Technology, Luoyang, 471023, Henan, China

Keywords:

SuperHyperSoft Set; MCDM Method; Translation Courses; Teaching Quality; College English

Abstract

This paper applies the Technique for Order Preference by Similarity to Ideal Solution 
(TOPSIS) and the SIWEC for Teaching Quality Assessment in College English Translation 
Courses. The impacts of normalization on the SIWEC-based TOPSIS approach are examined 
using SIWEC. It has been discovered that normalization can influence the solution, which in turn 
influences the contribution of attributes to the distance of each alternative from the ideal solution 
and the negative ideal solution. The SIWEC method is used to compute the criteria weights and 
the TOPSIS method is used to rank the alternatives. SuperHyperSoft set is used to deal with 
different criteria and sub-criteria. Eight criteria and seven alternatives are used in this study. The 
results show the stability of the ranks under the SuperHyperSoft Set.

 

DOI: 10.5281/zenodo.14996712

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Published

2025-05-01

How to Cite

Jianguo Liu. (2025). Application of the SuperHyperSoft Set for Comprehensive Teaching Quality Analysis in College English Translation Courses for Enhanced Learning Results. Neutrosophic Sets and Systems, 82, 443-457. https://fs.unm.edu/nss8/index.php/111/article/view/6017