Chiranjibe Jana
Papers
6
Total Citations
28
H-Index
4
About
Chiranjibe Jana is an emerging researcher specializing in fuzzy set theory, neutrosophic mathematics, and multi-attribute decision-making (MADM), with a particular focus on applying these frameworks to intelligent robotics and automation systems. His work sits at a compelling intersection of advanced mathematical modeling and real-world engineering challenges, exploring how uncertainty-handling frameworks — including Pythagorean, neutrosophic, and vague normal sets — can guide complex decision-making processes in domains such as surgical robotics, agricultural automation, and last-mile delivery systems. Jana's most notable contributions include the development of innovative aggregation operators, such as logarithmic square root neutrosophic normal interval-valued sets and q-rung fuzzy interaction models, which extend classical decision theory to better capture imprecision and indeterminacy in practical scenarios. His 2024 paper on AI-driven delivery robot selection has already garnered 8 citations, reflecting growing interest in his neutrosophic square root environment framework. Collectively, his publications have accumulated over 28 citations within a remarkably short timeframe, signaling rapid uptake by the research community. His most recent work on Nash-based task allocation in distributed robotic networks further demonstrates his expanding ambition to bridge theoretical mathematics with cooperative multi-robot systems.
Research Focus
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Top Papers
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