Saba Fatima

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About

Dr. Saba Fatima is a distinguished researcher in the fields of decision science, fuzzy logic, and multi-criteria decision-making (MCDM). Her work focuses on developing advanced hybrid methodologies that integrate uncertainty modeling with robust analytical frameworks. Her most-cited paper, "A hybrid decision-making technique based on extended entropy and trapezoidal fuzzy rough number" (2024), introduces a novel approach that combines entropy measures with trapezoidal fuzzy rough numbers to enhance the precision and reliability of decision-making under ambiguous conditions. This contribution has already garnered 8 citations, reflecting its immediate relevance and impact in operations research and artificial intelligence. Dr. Fatima’s research addresses critical challenges in handling incomplete or imprecise data, offering practical solutions for industries ranging from supply chain management to sustainable energy planning. Her work stands out for its methodological rigor and applicability, bridging theoretical advancements with real-world problem-solving. As a rising voice in computational intelligence, Dr. Fatima continues to shape how complex decisions are modeled and optimized, making her a key figure for students and researchers exploring the frontiers of fuzzy systems and entropy-based analytics.