C. Venkateswaran
Papers
2
Total Citations
17
H-Index
2
About
C. Venkateswaran is a researcher specializing in **multiple criteria decision-making (MCDM)** methods, with a particular focus on the **Weighted Aggregated Sum Product Assessment (WASPAS)** technique. Their work centers on refining and applying WASPAS to improve decision accuracy in complex selection problems. In their highly cited 2022 study, Venkateswaran demonstrated how combining the Weighted Sum Model (WSM) and Weighted Product Model (WPM) within WASPAS enhances ranking precision—a contribution that has garnered **14 citations** and is foundational for practitioners seeking robust MCDM tools. A second notable paper applies WASPAS to **project candidate selection**, where they compared its performance against the EDAS method, showing that WASPAS yields more reliable rankings by accounting for both ideal and anti-ideal distances. This applied work, with **3 citations**, highlights the practical utility of their research in human resource and project management contexts. Venkateswaran’s contributions are particularly valuable for students and researchers exploring decision science, as they bridge theoretical MCDM advancements with real-world applications, offering clear methodological guidance for optimizing selection processes.
Research Focus
Key Achievements
Top Papers
- 1
- 2Selection of Candidate for a Project Using WASPAS Method3 citations · 2022