Application of the SuperHyperSoft Set for Comprehensive Teaching Quality Analysis in College English Translation Courses for Enhanced Learning Results
Keywords:
SuperHyperSoft Set; MCDM Method; Translation Courses; Teaching Quality; College EnglishAbstract
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.
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