Nidhi Singh
Papers
1
Total Citations
8
H-Index
1
About
Dr. Nidhi Singh is a leading researcher at the intersection of artificial intelligence, decision science, and digital finance. Her primary research areas include multi-criteria decision-making (MCDM) under uncertainty, fuzzy logic systems, and the optimization of intelligent banking technologies. Dr. Singh’s most notable contribution is the development of a novel TODIM strategy applied within a pentagonal neutrosophic framework to evaluate digital banking chatbots. This work, published in 2022 and garnering 8 citations, provides a robust mathematical model for assessing the performance and reliability of conversational AI in the 24/7 banking sector. By addressing the inherent ambiguity in user satisfaction and system efficiency, her research offers banks a structured method to select and improve chatbot services. Dr. Singh’s work is particularly impactful for practitioners seeking to enhance customer experience through data-driven, uncertainty-aware decision tools. Her achievements demonstrate a rare ability to bridge abstract fuzzy set theory with pressing real-world applications in fintech, making her a valuable voice in the ongoing digital transformation of financial services.
Research Focus
Key Achievements
Top Papers
- 1