S. Aicevarya Devi

Vellore Institute of Technology University

Papers

Total Citations

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About

Dr. S. Aicevarya Devi is a leading researcher in decision science and fuzzy multi-criteria decision-making (MCDM), with a particular focus on healthcare applications. Her most cited work, "Intuitionistic fuzzy MAUT-BW Delphi method for medication service robot selection during COVID-19" (2022, 27 citations), exemplifies her innovative approach to solving real-world problems under uncertainty. In this study, she developed a novel hybrid MCDM framework that integrates intuitionistic fuzzy sets, the Multi-Attribute Utility Theory (MAUT), and the Best-Worst Method (BWM) with Delphi techniques. This methodology enables robust selection of medication service robots—a critical need for healthcare organizations facing the unprecedented challenges of the COVID-19 pandemic. By addressing the complexities of evaluating robotic systems under vague and incomplete information, Dr. Devi’s work directly supports infection control and operational efficiency in crisis settings. Her contributions bridge theoretical advancements in fuzzy logic with practical, life-saving applications, demonstrating significant impact in both academic and healthcare domains. With her research cited by peers tackling similar decision-making problems, Dr. Devi continues to shape the field of intelligent systems for healthcare logistics and emergency management.