A Dual TreeSoft-HyperSoft Set-Based Framework for Assessing Employment Guidance Satisfaction in Vocational Colleges
Keywords:
Employment Guidance, Vocational Colleges, TreeSoft Set, HyperSoft Set, Neutrosophic Decision-Making, Entropy Weighting, MOOSRA, Student Satisfaction.Abstract
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.
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Copyright (c) 2025 Neutrosophic Sets and Systems
This work is licensed under a Creative Commons Attribution 4.0 International License.
