Application of MCDM for Estimating Student Performance in University English Translation Courses under IndetermSoft Set

Abstract

Evaluating student performance in university English translation courses is a complex 
process that requires a comprehensive assessment of multiple factors. Traditional assessment 
methods often fail to capture the nuances of translation quality, linguistic proficiency, and 
contextual adaptation. The application of Multi-Criteria Decision-Making (MCDM) 
methodologies offers a structured and systematic approach to estimating student performance 
based on diverse and interdependent criteria. By integrating MCDM, universities can develop a 
more objective, data-driven framework for evaluating translation skills while ensuring fair and 
consistent grading practices. This study uses two MCDM methods such as CRITIC method to 
compute the criteria weights and the RAFSI method to rank the alternatives. We use the 
IndetermSoft set to deal with indeterminacy in the values of the criteria. These methods are 
applied into a case study with eight criteria and seven alternatives. 

DOI: 10.5281/zenodo.15122595