Innovative Neutrosophic Models for Comprehensive Quality Assessment in University Law Courses: Conceptual Precision, Ethical Judgment, and Applied Competence

Authors

  • Qianduo Lin School of Law, Wenzhou University of Technology, Wenzhou, 325027, Zhejiang, China
  • Sushuo Ye School of Law, Wenzhou University of Technology, Wenzhou, 325027, Zhejiang, China

Keywords:

Neutrosophic logic, legal education quality, rough neutrosophic sets, bipolar neutrosophic cubic sets, interval neutrosophic model, legal ethics, applied legal competence, law course evaluation, uncertainty modeling, moot court assessment.

Abstract

This research presents three original models to evaluate the quality of university law 
courses from different perspectives. The first model uses a Double-Boundary Rough 
Neutrosophic Set to measure how clearly students understand legal concepts. The second 
model applies Bipolar Neutrosophic Cubic Logic to assess students’ ethical thinking and 
their ability to avoid legal bias. The third model introduces a Multi-Valued Interval 
Neutrosophic Competence Score (NCS), designed to measure students’ ability to apply 
law in real legal situations like moot courts. Each model is supported by full mathematical 
definitions, equations, and calculated examples. Together, they give a deep and balanced 
view of legal education qualitycombining legal understanding, ethical clarity, and applied 
legal skills. The models also offer practical value for teachers and curriculum designers 
by showing how to identify student needs and improve legal training methods. This study 
proves that using neutrosophic logic in education can offer detailed, human-centered 
evaluation tools for complex fields like law.

 

DOI: 10.5281/zenodo.16754894

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Published

2025-12-01

How to Cite

Qianduo Lin, & Sushuo Ye. (2025). Innovative Neutrosophic Models for Comprehensive Quality Assessment in University Law Courses: Conceptual Precision, Ethical Judgment, and Applied Competence . Neutrosophic Sets and Systems, 91, 305-317. https://fs.unm.edu/nss8/index.php/111/article/view/6981