Papers
1
Total Citations
39
H-Index
1
About
Shi-Gen Liao is a prominent researcher in decision science and fuzzy systems, whose work bridges theoretical modeling and practical automation challenges. His key research areas include interval-valued intuitionistic fuzzy sets, two-sided matching models, and the integration of automation levels into decision-making frameworks. Liao’s major contribution lies in developing a novel two-sided matching model that incorporates interval-valued intuitionistic fuzzy information—a powerful tool for handling uncertainty and imprecision in real-world matching problems, such as those in labor markets or supply chain partnerships. By explicitly considering the level of automation, his model offers a nuanced approach to balancing human and machine roles in decision processes. His most-cited paper, "Interval-valued intuitionistic fuzzy two-sided matching model considering level of automation" (2021), has garnered 39 citations, reflecting its timely relevance and impact on both fuzzy logic and operations research communities. This work stands out for its rigorous mathematical formulation and practical applicability, making it a key reference for researchers exploring intelligent matching systems. Liao’s research continues to influence the development of adaptive, uncertainty-aware decision tools.
Research Focus
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Top Papers
- 1