S. A. Edalatpanah

Papers

Total Citations

H-Index

About

Dr. S. A. Edalatpanah is a leading figure in the advancement of multi-criteria decision-making (MCDM) and fuzzy set theory, with a particular focus on developing novel mathematical frameworks to handle uncertainty in complex problems. His major contributions include pioneering the application of Fermatean vague normal sets (FVNS) and logarithmic aggregation operators—such as the log Fermatean vague normal weighted averaging (log FVNWA)—to enhance the ranking and evaluation of vague and imprecise information. This work, exemplified in his highly cited 2023 paper on new distance techniques for ranking vague sets (14 citations), has provided robust tools for multi-attribute decision-making (MADM) challenges across engineering and management sciences. Dr. Edalatpanah’s research consistently bridges theoretical innovation with practical application, offering more accurate and reliable methods for decision-makers. His impact is evident in the growing adoption of his logarithmic operators and distance-based approaches, which have become foundational in contemporary fuzzy decision analysis. Through these achievements, he has established himself as a key contributor to the evolution of computational intelligence and operational research.