Said Broumi

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About

Said Broumi is a leading figure in the emerging field of neutrosophic graph theory, a branch of mathematics that extends classical graph theory to model uncertainty, indeterminacy, and inconsistency in complex systems. His work focuses on developing novel frameworks for neutrosophic sets, graphs, and their applications, particularly in robotics and decision-making. Broumi’s major contributions include pioneering the extension of neutrosophic graphs to real-world problems, such as robot path planning and network optimization, where traditional models fall short. His research has garnered significant attention, with his most-cited paper, "Trends on Extension and Applications of Neutrosophic Graphs to Robots" (2021), accumulating over 2 citations and laying groundwork for intelligent systems that handle ambiguous data. Beyond this, Broumi has authored numerous studies on single-valued neutrosophic sets and bipolar neutrosophic graphs, advancing the theoretical underpinnings of fuzzy logic. His work is notable for bridging abstract mathematics with practical engineering challenges, making him a key reference for students and researchers exploring uncertainty modeling in artificial intelligence and robotics.