Samayan Narayanamoorthy
Papers
7
Total Citations
254
H-Index
6
About
Dr. Samayan Narayanamoorthy is a leading figure in the application of advanced fuzzy decision-making models to critical real-world problems, particularly in robotics and sustainable agriculture. His research centers on developing novel multi-criteria decision-making (MCDM) frameworks that integrate intuitionistic, hesitant, and dense fuzzy sets to handle uncertainty and complex human judgment. His most impactful contribution, the "Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection," has garnered 172 citations, establishing a foundational approach for evaluating complex technological systems. Dr. Narayanamoorthy has extended this work to address pressing global challenges, including a highly cited study on selecting medication service robots during the COVID-19 pandemic and a recent model for earthquake rescue robot selection. His work also tackles environmental sustainability, with a notable paper on an enhanced fuzzy MADM approach for agricultural field robots and a decision-making technique for weed management that reduces reliance on chemical herbicides. With over 250 total citations and a steady stream of publications through 2025, his research provides robust, actionable tools for engineers and policymakers navigating high-stakes technological choices.
Research Focus
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Top Papers
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