Ubaid ur Rehman
Papers
2
Total Citations
18
H-Index
2
About
Ubaid ur Rehman is a rising researcher at the intersection of fuzzy decision-making, robotics, and medical technology. His work focuses on developing advanced mathematical frameworks—particularly intuitionistic fuzzy rough sets and bipolar complex fuzzy soft aggregation operators—to solve complex prioritization and selection problems in emerging industries. In his highly cited 2023 study, Rehman applied the EDAS technique with intuitionistic fuzzy rough Yager aggregation operators to systematically analyze and rank the critical success factors facing the global robotics industry, offering a robust method for handling vague and imprecise data that has already garnered 12 citations. Building on this foundation, his 2024 paper introduced bipolar complex fuzzy soft aggregation operators to determine the most influential robotic systems in the medical field, a contribution that has quickly attracted 6 citations for its practical relevance to healthcare automation. Rehman’s work stands out for its interdisciplinary rigor, bridging theoretical fuzzy mathematics with real-world industrial and clinical applications. His publications demonstrate a clear trajectory toward establishing more reliable, data-driven decision tools for stakeholders navigating the complexities of robotic adoption and innovation.
Research Focus
Key Achievements
Top Papers
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