Evaluation of College Students' Innovation and Entrepreneurship Abilities in the New Media Environment Using Tree Soft Set and Neutrosophic Modeling

Abstract

 In today's rapidly evolving digital society, the new media environment has profoundly 
reshaped the landscape of innovation and entrepreneurship among college students. 
Understanding and evaluating students' abilities in this context are crucial for universities, 
policymakers, and industries seeking to cultivate future leaders and innovators. However, 
traditional evaluation frameworks often struggle to address the multi-layered, uncertain, and 
dynamic nature of competencies in a media-driven environment.  This study proposes a novel 
decision-making framework based on Tree Soft Set (TSS) theory to evaluate college students' 
innovation and entrepreneurship abilities comprehensively. The TSS model, by organizing 
evaluation criteria into hierarchical tree structures, captures complex relationships among 
competencies and adapts flexibly to overlapping and uncertain information. To further enhance 
the robustness of the model, Single-Valued Neutrosophic Sets (SVNS) are integrated, enabling 
better representation of truth, indeterminacy, and falsity degrees in expert judgments.  The 
proposed evaluation model identifies critical dimensions such as creativity, opportunity 
recognition, risk management, technological adaptability, communication skills, and leadership 
under the influence of new media. Criteria weighting is determined using the SWARA method, 
while final ranking of student profiles is achieved via the MAIRCA method. Empirical application 
and sensitivity analyses validate the framework’s stability and effectiveness. The results provide 
actionable insights for educational institutions aiming to nurture innovation-driven talent in the 
digital era. 

DOI: 10.5281/zenodo.15294838