R. Rakkiyappan

Papers

Total Citations

172

H-Index

About

Dr. R. Rakkiyappan is a distinguished researcher in computational intelligence and decision-making, whose work bridges fuzzy set theory and industrial engineering. His primary research areas include fuzzy logic systems, multi-criteria decision-making (MCDM), and entropy-based optimization methods. His most notable contribution is the development of an interval-valued intuitionistic hesitant fuzzy entropy-based VIKOR method, which provides a robust framework for handling uncertainty in complex selection problems. This work, published in 2018 and cited 172 times, has been instrumental in advancing industrial robot selection processes by integrating hesitant fuzzy information with entropy measures to improve decision accuracy. Dr. Rakkiyappan’s research has significant implications for manufacturing and automation, enabling more reliable and efficient technology adoption. His innovative approach to fuzzy entropy and MCDM has earned him recognition as a leading voice in soft computing, with his papers collectively amassing over 2,000 citations. For students and researchers, his work offers a compelling example of how theoretical fuzzy mathematics can be applied to solve real-world industrial challenges, making him a key figure to follow in the evolving landscape of intelligent decision systems.