M. Palanikumar
Saveetha University, SRM Institute of Science and Technology
Papers
11
Total Citations
67
H-Index
6
About
M. Palanikumar is a prolific researcher specializing in fuzzy set theory, neutrosophic mathematics, and multi-criteria decision-making (MCDM), with a particular focus on developing advanced aggregation operators for real-world intelligent systems. His work sits at the intersection of computational intelligence and applied mathematics, consistently pushing the boundaries of how uncertainty and vagueness are modeled in complex decision environments. Palanikumar's most significant contributions involve constructing novel mathematical frameworks — including Fermatean vague normal sets, q-rung complex diophantine neutrosophic sets, and square root neutrosophic interval-valued sets — and deploying them to solve multiple attribute decision-making (MADM) problems. A recurring and impactful theme across his research is the selection and evaluation of robotic technologies, spanning surgical robots, last-mile delivery robots, agricultural robotics, and medical robotic engineering, demonstrating direct applicability to cutting-edge automation challenges. His most cited work (2023, 14 citations) introduced logarithmic Fermatean vague normal weighted operators, offering new distance-based techniques for ranking vague sets. Collectively accumulating over 60 citations within a remarkably short publication window, his body of work signals rapidly growing influence in the fuzzy mathematics and decision-science communities. Palanikumar's research is especially valuable for students and engineers seeking rigorous yet flexible tools for handling real-world uncertainty in intelligent system design.
Research Focus
Key Achievements
Top Papers
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