Complex Neutrosophic Approach for Uncertainty Management in Employment Competence for Higher Vocational College Students

Abstract

 In an era of rapid technological revolutions as well as ever-changing job market dynamics, the 
analysis of employment competence for higher vocational college students becomes a complicated
challenge. Legacy methods become unable to manage the intrinsic uncertainty related to workforce 
readiness, skill relevancies, and career decision-making. In this work, we propose a multi-criteria complex 
neutrosophic approach integrating for optimization and uncertainty management of vocational student 
employment. Our approach provides a novel application of the Interval Complex Neutrosophic Set (ICNS) 
to handle indefinite, hesitant, and inconsistent information in vocational student employment. It also 
presents a novel ICNS de-neutrosophication method to provide representative and expressive scoring of 
ICNS decisions. Then, algorithmic analytical weighting is applied to infer the significance of ICNS-valued 
criteria. Following, the ICNS-VIKOR method is integrated to compute evaluation results and rank 
vocational employment strategies according to either compromise Measure, Regret Measure, or Q-VIKOR 
Index scores for each alternative. We introduce a real-world case study to optimize the evaluation of 
different vocational employment configurations based on ten competing criteria. The quantitative and 
qualitative results indicate that our methodology offers a systematic and reliable decision-support tool, that 
effectively optimizes trade-offs as well as uncertain judgments from policymakers, career advisors, and 
industry recruiters. The proof-of-concept analysis highlighted the best-ranked alternative while offering 
intuitions about the sensitivity of the decision process.

DOI: 10.5281/zenodo.15080676