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Neutrosophic Sets and Systems

Abstract

This study systematically examines the applications of neutrosophic logic in Ecuadorian medicine, focusing on its role in improving medical decision making and preventive healthcare. By conducting a structured literature review selected articles, the research highlights how neutrosophic methods—such as Single-Valued Neutrosophic Sets (SVNS) and Neutrosophic Cognitive Maps (NCMs)—address uncertainty, indeterminacy, and contradictions inherent in clinical and public health data. Key contributions include improved diagnostic accuracy in maternal health, risk assessment for chronic diseases, and ethical decision making in telemedicine, demonstrating neutrosophic logic’s superiority over traditional binary approaches. The findings advocate for a broader implementation of neutrosophic frameworks in Ecuador’s healthcare system, while identifying challenges such as computational complexity and the need for standardized protocols. This work underscores the transformative potential of neutrosophic logic to foster precise, equitable, and resilient healthcare solutions.

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