Complex Neutrosophic Approach for Uncertainty Management in Employment Competence for Higher Vocational College Students
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, sk...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-05-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/54Complex%20Neutrosophic.pdf |
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| Summary: | 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. |
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| ISSN: | 2331-6055 2331-608X |