Raiha Imran
Papers
1
Total Citations
111
H-Index
1
About
Raiha Imran is a rising scholar in the field of multi-criteria decision-making (MCDM) and fuzzy logic, with a particular focus on industrial automation and technology selection. Her most cited work, a 2024 paper on robot selection, introduces a novel framework that integrates interval-valued intuitionistic fuzzy information with Aczel-Alsina Bonferroni means. This approach addresses the growing complexity of choosing optimal robots for industrial tasks, where suppliers continuously integrate advanced features. By offering a robust, group-based decision-making model, Imran’s research provides a practical tool for engineers and managers navigating the fast-paced evolution of automation technology. Garnering 111 citations in a short time, this work underscores its immediate relevance and impact. Imran’s contributions lie at the intersection of fuzzy set theory and applied industrial engineering, helping to streamline high-stakes technology adoption. Her work is particularly valuable for researchers and students in operations research, industrial engineering, and artificial intelligence, offering a clear methodology for handling uncertainty and conflicting criteria in real-world selection problems.
Research Focus
Key Achievements
Top Papers
- 1