A Dual TreeSoft-HyperSoft Set-Based Framework for Assessing Employment Guidance Satisfaction in Vocational Colleges

In response to the growing demand for high-quality career support in vocational colleges, this study introduces a dual-model framework designed to assess student satisfaction with employment guidance services. Leveraging the TreeSoft Set and HyperSoft Set theories, the proposed model addresses both hierarchical and overlapping structures among evaluation criteria. Real-world case studies were conducted using Single-Valued Neutrosophic Sets (SVNS) for aggregating expert judgments, Entropy weighting for objective criteria importance, and the MOOSRA method for ranking alternatives. Sensitivity analysis confirmed the robustness of the model, while validation using Spearman's correlation verified consistency among expert opinions. The research offers practical insights for improving career services and provides a scalable, uncertainty-resilient evaluation model applicable in diverse vocational education contexts.