Adaptive Triangular Linguistic Neutrosophic Cubic Fuzzy Sets for College English Blended Teaching Mode Evaluation Method

Abstract

This paper presents a proactive strategy that employs a multiple-criteria decision-making (MCDM) model as an 
evaluation tool. To assess online and offline blended teaching modes for college English, we propose an evaluation 
framework called CIMAS-COBRA, which integrates the Criteria Importance Assessment (CIMAS) method for 
determining criteria weights and the Cost Estimation, Benchmarking, and Risk Assessment (COBRA) method for 
ranking alternatives. Both methods operate under the Triangular Linguistic Neutrosophic Cubic Fuzzy Sets framework 
to handle uncertain and vague data. Seven criteria and ten alternatives are examined in this study. The Triangular 
Linguistic Neutrosophic Cubic Fuzzy Number approach is employed to evaluate these criteria and alternatives. 

DOI: 10.5281/zenodo.14841843