Malini Majumdar
Papers
1
Total Citations
8
H-Index
1
About
Malini Majumdar is a researcher at the forefront of integrating artificial intelligence with decision science, specializing in multi-criteria decision-making (MCDM) under uncertainty. Her work centers on developing novel mathematical frameworks—particularly within neutrosophic logic—to solve complex, real-world problems in digital banking and technology. Her most cited paper, “Digital Banking Chatbots related MCDM Problem by TODIM Strategy in Pentagonal Neutrosophic Arena” (2022, 8 citations), introduces an innovative application of the TODIM method to evaluate and optimize chatbot performance in the banking sector. This contribution addresses the critical need for 24/7 automated customer service by providing a robust, uncertainty-tolerant model for assessing chatbot effectiveness. Majumdar’s research bridges the gap between abstract mathematical theory and practical implementation, offering actionable insights for financial institutions adopting AI-driven solutions. Her work is particularly valuable for students and researchers exploring fuzzy logic, neutrosophic sets, and their applications in service technology. With a growing citation impact, Majumdar is establishing herself as a key voice in the evolving dialogue between computational intelligence and digital transformation in finance.
Research Focus
Key Achievements
Top Papers
- 1