Avishek Chakraborty

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About

Avishek Chakraborty is a researcher at the forefront of integrating fuzzy logic and multi-criteria decision-making (MCDM) with emerging digital technologies. His primary research areas include neutrosophic set theory, decision science, and the evaluation of artificial intelligence systems, particularly digital banking chatbots. Chakraborty’s major contribution lies in developing novel MCDM frameworks that handle uncertainty more effectively than traditional models. He pioneered the application of the TODIM (an acronym in Portuguese for Interactive and Multi-criteria Decision Making) strategy within a pentagonal neutrosophic environment, allowing for more nuanced assessments of complex, ambiguous criteria. His most cited work, “Digital Banking Chatbots related MCDM Problem by TODIM Strategy in Pentagonal Neutrosophic Arena” (2022), has garnered 8 citations, establishing a foundation for evaluating chatbot performance in the 24/7 banking sector. Building on this, his 2025 paper extends the methodology, further refining how banks can select optimal chatbot systems. Chakraborty’s research bridges theoretical mathematics and practical fintech applications, offering robust tools for decision-makers navigating the uncertainty of AI-driven customer service. His work is essential reading for students and researchers interested in fuzzy decision-making and the quantitative evaluation of intelligent systems.