Asif Afzal
Papers
1
Total Citations
122
H-Index
1
About
Dr. Asif Afzal is a leading figure in the field of Multi-Criteria Decision Making (MCDM), where his work focuses on developing sophisticated hybrid models to solve complex engineering and industrial selection problems. His most significant contribution is the creation of novel hybrid MCDM frameworks, such as the TOPSIS-ARAS and COPRAS-ARAS models, which combine traditional techniques to overcome the limitations of outdated single-method approaches. His seminal 2021 paper on this topic has garnered over 122 citations, reflecting its substantial impact on the field. Dr. Afzal’s research is particularly notable for its practical applications, including the optimization of robot selection processes in manufacturing, where his models provide more robust and accurate decision-support tools. His work bridges the gap between theoretical MCDM advancements and real-world engineering challenges, making him a key contributor to modern decision science.
Research Focus
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Top Papers
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