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

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 multi attribute group decision-making (MAGDM) under T2NN conditions. Finally, a numerical case study is conducted to illustrate the application and effectiveness of the T2NN LogTODIM-TOPSIS approach in evaluating the employment quality of vocational college students within the context of innovation and entrepreneurship.