Muhammad Tahir Hamid
Papers
1
Total Citations
40
H-Index
1
About
Dr. Muhammad Tahir Hamid is a leading researcher in computational intelligence and decision science, with a primary focus on advancing fuzzy set theory for real-world applications. His work centers on developing hybrid fuzzy models—particularly the integration of q-rung orthopair fuzzy sets and m-polar fuzzy sets—to address complex multi-criteria decision-making problems under uncertainty. His most cited paper, "Multi-criteria decision making in robotic agri-farming with q-rung orthopair m-polar fuzzy sets" (2021, 40 citations), exemplifies his contribution by introducing a novel hybrid framework that enhances precision in agricultural robotics, enabling more robust and flexible decision-making in dynamic farming environments. This work has been recognized for bridging theoretical fuzzy logic with practical agricultural automation, offering a powerful tool for handling ambiguous and conflicting data. Dr. Hamid’s research has significant implications for sustainable farming, supply chain management, and intelligent systems, and his innovative approach continues to influence scholars and practitioners in fuzzy modeling and applied decision analysis.
Research Focus
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Top Papers
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