Mai Mohamed
Papers
1
Total Citations
22
H-Index
1
About
Dr. Mai Mohamed is a rising scholar in the field of multiple attribute decision-making (MADM), with a particular focus on developing novel methodologies to address complex selection and assessment problems under uncertainty. Her most-cited work, "New extension of ordinal priority approach for multiple attribute decision-making problems: design and analysis" (2022, 22 citations), introduces a refined framework that enhances the traditional ordinal priority approach, making it more robust for real-world applications. This contribution is especially significant in contexts like robot selection, where conflicting attributes and inherent uncertainty complicate decision-making. Dr. Mohamed’s research bridges theoretical innovation and practical utility, offering tools that improve the accuracy and reliability of multi-criteria evaluations. Her work has already garnered attention, with citations reflecting its relevance to both academics and practitioners in operations research and industrial engineering. By addressing the challenges of attribute conflict and data ambiguity, she is helping to advance decision science, making her a promising voice in the ongoing evolution of MADM methodologies.
Research Focus
Key Achievements
Top Papers
- 1