Soma D. Biswas
Papers
1
Total Citations
8
H-Index
1
About
Soma D. Biswas is a researcher at the forefront of integrating fuzzy decision-making frameworks with emerging digital technologies. Her primary research areas include multi-criteria decision-making (MCDM), neutrosophic logic, and the application of artificial intelligence in banking and finance. Biswas is best known for her innovative use of the TODIM strategy within pentagonal neutrosophic environments, a novel approach she applied to evaluate digital banking chatbot systems. Her most-cited work, "Digital Banking Chatbots related MCDM Problem by TODIM Strategy in Pentagonal Neutrosophic Arena" (2022, 8 citations), addresses the complex challenge of assessing conversational AI in the banking sector, which has evolved to operate 24/7. By modeling uncertainty through pentagonal neutrosophic sets, Biswas provides a robust methodology for decision-makers to compare and select optimal chatbot solutions. Her contributions are particularly valuable for researchers exploring the intersection of fuzzy logic, human-computer interaction, and service automation. Though early in her citation trajectory, Biswas’s work signals a promising direction for applying advanced mathematical tools to real-world technology adoption problems.
Research Focus
Key Achievements
Top Papers
- 1