A Neutrosophic α-Discounting–Reliability Model for Evaluating Blended Chinese Language Courses in Vocational Colleges
Year: 2025
Type: article
Abstract: Blended Chinese language courses in vocational colleges combine in-person and online activities. Measuring how effective these courses are is difficult because of differences in student engagement, data reliability, and uncertainties in participation. This paper proposes a new mathematical model that combines the α-discounting method, neutrosophic logic, and a data reliability factor. The model represents student engagement as truth (T), indeterminacy (I), and falsehood (F) while using α-discounting to handle inconsistencies in student feedback and performance. We introduce a new factor to measure the reliability of data and show how this affects the overall evaluation. Many equations are provided with clear explanations, and step-by-step numerical examples show how to use the model in real teaching situations. This approach gives teachers a better way to measure and improve blended Chinese language courses.
Author: Xinxin Ji
Language: English
Topic: Fuzzy and Soft Set Theory
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6930870522
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