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

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 n...

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Bibliographic Details
Main Author: Jianguo Liu
Format: Article
Language:English
Published: University of New Mexico 2025-05-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:https://fs.unm.edu/NSS/28EnglishTranslation.pdf
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Summary: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.
ISSN:2331-6055
2331-608X