Neutrosophic Sets and Systems
Abstract
Traditional decision-making methods often struggle with inherent uncertainty and imprecision in data. Neutrosophic set-based algorithms offer a novel approach by incorporating degrees of truth, indeterminacy, and falsity. This paper explores the structure and implementation of these algorithms, highlighting their potential to handle real-world complexities. The application of neutrosophic sets in medical diagnosis is presented as a case study, demonstrating how the algorithm aids in evaluating probabilities for various diagnoses under uncertain conditions. The paper concludes by discussing limitations and potential applications in diverse fields.
Recommended Citation
Salama, A. A.; Huda E. Khalid; and Ahmed G. Mabrouk. "Unveiling Uncertainty: Neutrosophic Set-Based Algorithms for Robust Decision-Making." Neutrosophic Sets and Systems 72, 1 (2024). https://digitalrepository.unm.edu/nss_journal/vol72/iss1/11
