Afia Sattar

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About

Afia Sattar is a rising scholar in the field of multi-criteria decision-making (MCDM) and fuzzy logic, with a particular focus on industrial automation and advanced manufacturing. Her work centers on developing novel decision-support frameworks that integrate complex fuzzy information, notably through the application of 2-tuple linguistic models and q-rung orthopair fuzzy sets. Her most cited paper, "2-tuple linguistic q-rung orthopair fuzzy CODAS approach and its application in arc welding robot selection" (2022, 32 citations), exemplifies her contribution by providing a robust methodology for selecting industrial robots—a critical step in optimizing production efficiency and cost-effectiveness. This work addresses real-world challenges in welding, assembly, and other automated processes, demonstrating how theoretical fuzzy models can drive practical engineering decisions. Sattar’s research is characterized by its interdisciplinary reach, bridging computational intelligence with industrial robotics. Her achievements highlight a commitment to solving tangible problems in advanced manufacturing, making her work highly relevant for students and researchers exploring the intersection of fuzzy decision analysis and automation technology.