Krishnan Suvitha
Papers
2
Total Citations
25
H-Index
2
About
Krishnan Suvitha is a rising researcher whose work lies at the critical intersection of fuzzy decision-making, industrial automation, and sustainable agriculture. Her research focuses on developing advanced mathematical models to solve complex, real-world selection and management problems under uncertainty. Suvitha’s most notable contribution is an enhanced decision-making model for industrial robotic selection, which innovatively incorporates three distinct grades of membership—positive, abstained, and negative—to more accurately reflect human judgment. This work, published in 2024, has already garnered 15 citations, signaling its immediate relevance to the field of industrial engineering. In a parallel effort to address pressing environmental and food safety concerns, Suvitha developed a trace-to-median-index-based fuzzy technique for weed management in agricultural systems. This model offers a sophisticated alternative to reliance on chemical herbicides, directly tackling challenges of land degradation and public health. With 10 citations, this 2024 paper highlights her commitment to applying theoretical frameworks to pressing sustainability issues. Suvitha’s work is distinguished by its practical impact, bridging the gap between abstract fuzzy logic and tangible solutions for industry and the environment.
Research Focus
Key Achievements
Top Papers
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