A Refined Dual-Valued Neutrosophic COPRAS-Based Approach for  Holistic Evaluation of English Teaching Standards

Peng Tong; Bin Xie

Authors

Peng Tong Nanchang Institute of Science and Technology, Nanchang, 330108, Jiangxi, China
Bin Xie Jiujiang University, Jiujiang, 332005, Jiangxi, China

Keywords:

Multiple-attribute decision-making (MADM); DVNSs; COPRAS technique; CET quality evaluation

Abstract

The evaluation of college English teaching (CET) quality helps to improve teaching standards,
ensure the achievement of teaching objectives, and enhance students' language skills and overall
competence. Through feedback from evaluations, teachers can refine their teaching methods,
optimize course design, and meet students' needs. Additionally, teaching quality evaluation
promotes the professional development of teachers, facilitates the rational allocation of educational
resources, and ensures effective teaching outcomes. The evaluation of CET quality in vocational
colleges in the new era involves the multiple-attribute decision-making (MADM) process. Currently,
COPRAS methods are employed to address Multi-Attribute Decision-Making (MADM) challenges.
To handle uncertain data in this evaluation, double-valued neutrosophic sets (DVNSs) have been
introduced. This study proposes the double-valued neutrosophic number combined COPRAS
(DVNN-COPRAS) technique, utilizing the DVNN, to address the MADM problem under DVNSs.
A numerical study focused on CET quality evaluation is conducted to validate the proposed method.

DOI: 10.5281/zenodo.14271009