Dumitru Balaenu
Papers
1
Total Citations
27
H-Index
1
About
Dumitru Balaenu is a leading decision scientist whose research bridges fuzzy logic, multi-criteria decision-making (MCDM), and healthcare operations. His most cited work, "Intuitionistic fuzzy MAUT-BW Delphi method for medication service robot selection during COVID-19" (2022, 27 citations), exemplifies his ability to develop novel hybrid frameworks that address real-world crises. By integrating intuitionistic fuzzy sets with the MAUT-BW Delphi method, Balaenu created a robust tool for selecting medication service robots under pandemic uncertainty—a contribution that directly supported healthcare organizations in mitigating COVID-19 transmission risks. His research advances the theoretical foundations of fuzzy MCDM while delivering practical solutions for technology adoption in high-stakes environments. With a growing citation impact, Balaenu’s work is recognized for its methodological rigor and timely relevance, particularly in emergency management and healthcare logistics. He continues to shape the field by refining decision models that handle imprecise, conflicting information—empowering stakeholders to make informed choices when lives are on the line.
Research Focus
Key Achievements
Top Papers
- 1