Selvaraj Geetha

Papers

Total Citations

172

H-Index

About

Dr. Selvaraj Geetha is a distinguished researcher in the field of decision science and fuzzy logic, with a primary focus on multi-criteria decision-making (MCDM) methodologies. Her work centers on developing advanced mathematical frameworks to solve complex selection and evaluation problems under uncertainty. Her most influential contribution is the "Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method," a novel approach that integrates hesitant fuzzy sets with entropy measures to enhance decision-making in industrial contexts. This seminal paper, published in 2018, has garnered 172 citations, underscoring its significant impact on both theoretical and applied research. Dr. Geetha’s work is particularly notable for its practical applications, such as optimizing the selection of industrial robots, where her method provides robust, uncertainty-aware solutions. Her research bridges the gap between abstract fuzzy logic theory and real-world engineering challenges, making her a key figure in advancing MCDM techniques. With a strong citation record, Dr. Geetha continues to influence scholars and practitioners seeking reliable tools for decision-making in ambiguous environments.