Yinghan Chang
Papers
1
Total Citations
15
H-Index
1
About
Yinghan Chang is a distinguished researcher in the fields of fuzzy decision-making, quality function deployment (QFD), and product design evaluation. Their most notable contribution is the development of an improved approach to QFD that integrates Pythagorean fuzzy sets, enabling more robust handling of uncertainty and subjective judgment in complex design processes. This work, published in 2019 and cited 15 times, has been applied to assembly robot design evaluation, demonstrating its practical relevance in engineering and manufacturing. Chang’s research advances the theoretical foundations of multi-criteria decision-making while offering actionable tools for industrial applications. By bridging fuzzy set theory with real-world design challenges, they have provided a framework that enhances the reliability and efficiency of product development. Their work is particularly valuable for researchers and practitioners seeking to optimize design decisions under ambiguous conditions. Chang’s contributions continue to influence studies in fuzzy logic, quality management, and intelligent system design, marking them as a thoughtful innovator in applied operations research.
Research Focus
Key Achievements
Top Papers
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