Kavita Devi

Papers

Total Citations

203

H-Index

About

Dr. Kavita Devi is a distinguished researcher in the fields of multi-criteria decision-making (MCDM) and fuzzy logic, with a particular focus on intuitionistic fuzzy environments. Her most impactful contribution is the seminal 2011 paper "Extension of VIKOR method in intuitionistic fuzzy environment for robot selection," which has garnered over 200 citations. This work pioneered the adaptation of the VIKOR method—traditionally used for ranking alternatives with conflicting criteria—to handle the uncertainty and hesitation inherent in intuitionistic fuzzy sets, providing a robust framework for complex selection problems like robot choice in manufacturing. By integrating fuzzy set theory with decision-making algorithms, Devi has significantly advanced the practical application of MCDM in engineering and industrial contexts. Her research has been widely cited by scholars seeking to address real-world problems where precise data is unavailable, demonstrating its lasting influence. Dr. Devi's work stands as a cornerstone for students and researchers exploring the intersection of fuzzy logic and decision analysis, offering a clear, innovative pathway for tackling ambiguous, multi-attribute decisions.