Papers
1
Total Citations
3
H-Index
1
About
V. Pavithra is a researcher focused on multi-criteria decision-making (MCDM) methods, particularly in the domain of project candidate selection. Her work critically examines and applies advanced MCDM techniques, such as the WASPAS and EDAS methods, to solve real-world ranking and evaluation problems. In her most-cited paper, "Selection of Candidate for a Project Using WASPAS Method" (2022, 3 citations), she addresses limitations in the EDAS method—specifically its failure to account for the importance of distance comparisons between ideal and negative-best solutions—and demonstrates how WASPAS provides a more robust ranking framework. Her research contributes to improving decision accuracy in human resource and project management contexts. With her work gaining traction in the MCDM community, Pavithra is establishing herself as a thoughtful analyst of comparative decision models, offering practical insights for researchers and practitioners seeking reliable candidate selection methodologies.
Research Focus
Key Achievements
Top Papers
- 1Selection of Candidate for a Project Using WASPAS Method3 citations · 2022