A SuperHyperSoft Set-Based Analysis Framework for Innovation and Entrepreneurship Development in Higher Vocational Colleges: An Industry-Sector Integration Perspective

Abstract

his study proposes a novel framework for evaluating innovation and entrepreneurship 
education (IEE) in higher vocational colleges using the SuperHyperSoft Set (SHSS) theory, 
integrated with fuzzy-neutrosophic logic. The SHSS model extends classical soft set approaches 
by addressing multidimensional, overlapping, and uncertain attributes inherent in industry
education integration. A formal mapping structure employs power sets of attribute spaces (e.g., 
curriculum orientation, pedagogy, industry involvement, innovation outcomes) to model 
educational configurations. Neutrosophic parameters capture partial truth, indeterminacy, and 
falsity in assessing effectiveness. Applied to a digital entrepreneurship program, the model 
evaluated three configurations, revealing that hybrid or industry-driven curricula, project- or 
mentorship-based pedagogy, and industry co-development achieved optimal outcome 
alignment, while traditional academic formats exhibited higher uncertainty and misalignment. 
These findings validate the SHSS framework's utility in complex educational environments, 
offering a theoretical advancement and a practical tool for curriculum and policy optimization. 

DOI: 10.5281/zenodo.15467993