Mei‐Yun Quan
Papers
1
Total Citations
51
H-Index
1
About
Dr. Mei‐Yun Quan is a leading figure in the application of advanced multi-criteria decision-making (MCDM) methodologies, particularly within the interval-valued Pythagorean uncertain linguistic environment. Her most-cited work, “An integrated MCDM method for robot selection under interval‐valued Pythagorean uncertain linguistic environment” (2018, 51 citations), addresses the critical challenge of choosing optimal robots for manufacturing, where decision-makers must navigate complex, uncertain criteria. By integrating novel fuzzy set theory with MCDM frameworks, Dr. Quan provides a robust tool for handling vague and imprecise information, significantly improving the accuracy and reliability of industrial selections. Her contributions have not only advanced theoretical decision science but also offered practical solutions for automation and production efficiency. With a citation record reflecting her work’s resonance in both academic and applied engineering contexts, Dr. Quan’s research continues to guide scholars and practitioners in making more informed, data-driven decisions under uncertainty.
Research Focus
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Top Papers
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