Madhushi Verma
Papers
1
Total Citations
8
H-Index
1
About
Dr. Madhushi Verma’s research lies at the intersection of fuzzy mathematics and optimization, with a particular focus on intuitionistic fuzzy metric spaces and their real-world applications. Her most cited work, “Fuzzy Metric Space Induced by Intuitionistic Fuzzy Points and its Application to the Orienteering Problem” (2015, 8 citations), introduces a novel definition of an Atanassov intuitionistic fuzzy metric space using intuitionistic fuzzy points and scalars. This contribution provides a more nuanced distance metric that captures both membership and non-membership degrees, addressing limitations in classical fuzzy approaches. Dr. Verma then applies this theoretical framework to the orienteering problem, a challenging combinatorial optimization task, demonstrating how her metric can enhance route selection under uncertainty. Her work bridges abstract fuzzy set theory with practical decision-making, offering tools for problems in logistics, navigation, and resource allocation. With a focused publication record and growing citations, Dr. Verma is recognized for advancing intuitionistic fuzzy topology and its computational applications, making her research valuable for scholars in fuzzy systems, operations research, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1