Maria Akram
Papers
1
Total Citations
111
H-Index
1
About
Dr. Maria Akram is a leading figure in the application of advanced fuzzy logic and multi-criteria decision-making (MCDM) methodologies, with a particular focus on industrial optimization and technology selection. Her most cited work, a 2024 study on robot selection, introduces a novel group decision-making framework that integrates interval-valued intuitionistic fuzzy information with Aczel-Alsina Bonferroni means. This contribution directly addresses the growing complexity of evaluating modern industrial robots, offering a robust, mathematically rigorous tool for practitioners facing an array of advanced, often conflicting, supplier features. With over 111 citations in a short period, this paper underscores her ability to solve pressing real-world problems through sophisticated theoretical models. Dr. Akram’s research consistently bridges the gap between abstract fuzzy set theory and tangible engineering challenges, providing actionable solutions for technology assessment and resource allocation. Her work is essential reading for researchers and students in operations research, industrial engineering, and decision science, demonstrating how cutting-edge mathematical frameworks can drive efficiency and clarity in high-stakes industrial environments.
Research Focus
Key Achievements
Top Papers
- 1