Huchang Liao
Papers
2
Total Citations
17
H-Index
2
About
Huchang Liao is a leading researcher in the fields of fuzzy decision-making, multi-criteria analysis, and engineering design evaluation. His major contributions lie in advancing Pythagorean fuzzy set theory and its application to complex engineering problems, particularly in quality function deployment (QFD) for robotics and biomechanics. His most-cited work, "Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly robot design evaluation" (2019, 15 citations), demonstrates a novel methodology that enhances the precision of design requirement prioritization under uncertainty. This approach has practical implications for optimizing assembly robot performance. Liao also co-authored "Applied Mathematics for Engineering Problems in Biomechanics and Robotics" (2019, 2 citations), a notable editorial that bridges mathematical modeling with real-world engineering challenges. His research has garnered attention for its ability to integrate theoretical fuzzy logic with tangible industrial applications, making his work highly relevant for students and researchers in operations research, industrial engineering, and robotics. Liao’s contributions continue to shape how engineers handle ambiguous and incomplete information in design processes.
Research Focus
Key Achievements
Top Papers
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- 2