Enhanced T2NN-LogTODIM-TOPSIS Framework for Assessing Vocational College Students' Employment Quality Using Type-2 Neutrosophic Numbers

Abstract

With the ongoing development of vocational education in our country, the 
employment quality of vocational college graduates has emerged as a crucial metric for 
assessing the overall strength and effectiveness of these institutions. Establishing a robust 
employment quality evaluation system for vocational colleges not only complements and 
enhances their employment-related efforts, but also represents a critical step toward 
improving the broader educational and teaching practices within these institutions. 
Currently, the construction of such evaluation systems tends to focus primarily on 
professional education and teaching. While this approach has undoubtedly contributed to 
improving the quality of vocational education, it often overlooks the dimensions of 
development, innovation, and entrepreneurship education, thereby limiting its potential to 
produce optimal educational outcomes. In light of this, vocational colleges must proactively 
design and implement an employment quality evaluation system that incorporates the 
principles of entrepreneurship and innovation, fostering the healthy and sustainable growth 
of vocational education. The employment quality assessment of vocational college students, 
within the framework of innovation and entrepreneurship (often referred to as "double 
innovation"), constitutes a multiple-attribute decision-making (MADM) problem. To address 
such complex issues, methods like Logarithmic TODIM (LogTODIM) and TOPSIS have been 
proposed for MADM scenarios. In this context, Type-2 neutrosophic numbers (T2NNs) are 
utilized to represent and manage the inherent uncertainty and vagueness in the employment
quality evaluation process for vocational college students under the double innovation 
framework. This study introduces a novel method—the Type-2 neutrosophic number 
Logarithmic TODIM-TOPSIS (T2NN-LogTODIM-TOPSIS) approaches a solution for multiattribute group decision-making (MAGDM) under T2NN conditions. Finally, a numerical 
case study is conducted to illustrate the application and effectiveness of the T2NNLogTODIM-TOPSIS approach in evaluating the employment quality of vocational college 
students within the context of innovation and entrepreneurship

DOI: 10.5281/zenodo.13955803