Enhancing MIS Risk Management Using Neutrosophic  Logic: Applications in Investment, Credit Scoring, and  Supply Chain Disruption

A. A. Salama; Mohamed Mokhtar El-Muradani; Huda E. Khalid; Ahmed K. Essa; Haitham  Ward; Ibrahim Yasser

Authors

A. A. Salama Dept. of Math and Computer Sci., Faculty of Science, Port Said Univ., Egypt.
Mohamed Mokhtar El-Muradani Department of Educational Technology, Faculty of Education, El-Arish University, Egypt.
Huda E. Khalid University of Telafer, The Administration Assistant for the President of the Telafer University, Telafer, Iraq;
Ahmed K. Essa University of Telafer, The Administration Assistant for the President of the Telafer University, Telafer, Iraq;
Haitham Ward Institute of Graduate Studies, El-Kharba, El-Arish University, Egypt.
Ibrahim Yasser Electronics and Communication Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt.

Keywords:

Neutrosophic logic, MIS risk management, Risk factors uncertainty, Credit Scoring Models, Decision Support Systems (DSS).

Abstract

Biometrical Portfolio Approaches Treating risk in MIS primarily in terms of probability
scoring methods. Therefore, the objective of this paper is to analyze the application of neutrosophic,
a more sophisticated multi-valued logic that marries truthiness, falsity and indeterminacy, to devise
enhanced risk management approaches for use in Management Information Systems (MIS). We
showcase its effectiveness through case studies in project investment, credit scoring and supply
chain disruptions. Neutrosophic Logic helps mitigate some drivers' institutional uncertainties
through the assignment of various degrees of membership, revealing latent risks while leading into
more advanced risk profiling and guiding the principle of flexible mitigation strategies. We explore
the pros and cons of such an approach their merits to this review being maximizing the
responsiveness of systems to current MIS risk approaches vulnerabilities and fostering more resilient
risk management operationalization of MIS.

DOI: 10.5281/zenodo.16063489