Papers
11
Total Citations
203
H-Index
9
About
Dragan Pamučar is a leading researcher at the intersection of multi-criteria decision-making (MCDM), fuzzy logic, and robotics. His work focuses on developing advanced mathematical frameworks to solve complex problems in autonomous systems, particularly in multi-robot path planning, agricultural robotics, and urban logistics. Pamučar’s major contributions include pioneering the use of novel fuzzy set extensions—such as q-rung orthopair m-polar fuzzy sets and type-2 Pythagorean fuzzy sets—to model uncertainty in robotic decision-making. His highly cited 2019 paper on cloud-based multi-robot path planning (47 citations) introduced the Full Consistency Method (FUCOM) for optimizing navigation in crowded environments. He has also applied these techniques to social robot integration in urban transport (28 citations) and weed management in agriculture (10 citations). With over 200 total citations, Pamučar’s work is recognized for bridging theoretical MCDM with practical robotic applications, including industrial robot selection and autonomous exploration using D* Lite algorithms. His recent studies on linear diophantine multi-fuzzy sets further demonstrate his commitment to advancing decision science for engineering and medical fields.
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