Mohamed Abdelwahed
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mohamed Abdelwahed is a pioneering researcher in the application of multi-attribute decision-making (MADM) techniques and fuzzy set theory to agricultural robotics and intelligent systems. His most cited work, "Using multi-attribute decision-making technique for the selection of agribots via newly defined fuzzy sets" (2025, 2 citations), introduces a novel framework that integrates advanced fuzzy logic with MADM to optimize the selection of agricultural robots (agribots). This contribution addresses critical challenges in precision agriculture by enabling more nuanced, data-driven evaluations of robotic systems under uncertainty. Dr. Abdelwahed’s research bridges the gap between theoretical decision science and practical agri-tech applications, offering a robust methodology for stakeholders to assess competing technologies. His work is particularly notable for its innovative use of newly defined fuzzy sets, which enhance the flexibility and accuracy of decision models in complex, real-world environments. By advancing the intersection of fuzzy mathematics and agricultural automation, Dr. Abdelwahed is shaping the future of sustainable farming and intelligent machinery selection.
Research Focus
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Top Papers
- 1