Yi‐Chen Lin

Southern Taiwan University of Science and Technology

Papers

Total Citations

374

H-Index

About

Yi-Chen Lin is a leading figure in the application of fuzzy multi-criteria decision-making (MCDM) methodologies, with a particular focus on industrial engineering and technology selection. His most influential work, the 2003 paper "A Fuzzy TOPSIS Method for Robot Selection," has garnered over 374 citations and remains a cornerstone in the field. In this seminal study, Lin pioneered the integration of fuzzy set theory with the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) framework, enabling more robust decision-making under uncertainty—especially critical for complex tasks like robot selection in manufacturing. This contribution has had a lasting impact on operations research and supply chain management, providing a practical tool for engineers and managers facing ambiguous or incomplete data. Beyond this landmark paper, Lin’s broader research explores fuzzy logic, optimization, and performance evaluation, consistently bridging theoretical advances with real-world industrial applications. His work is widely cited by scholars in engineering, management science, and artificial intelligence, reflecting its interdisciplinary relevance. For students and researchers, Yi-Chen Lin exemplifies how rigorous methodological innovation can solve pressing practical problems, making his contributions essential reading for anyone interested in decision science and fuzzy systems.