Papers
1
Total Citations
14
H-Index
1
About
Linyu Wang is a researcher whose work lies at the intersection of decision science and quality management, with a particular focus on fuzzy set theory and its applications in product design. Wang’s most-cited paper, “A novel IVIF QFD considering both the correlations of customer requirements and the ranking uncertainty of technical attributes” (2022, 14 citations), introduces a groundbreaking approach to Quality Function Deployment (QFD) using interval-valued intuitionistic fuzzy (IVIF) sets. This work addresses two critical gaps in traditional QFD: it models the complex interdependencies among customer requirements and accounts for the inherent uncertainty in ranking technical attributes. By doing so, Wang provides a more robust and realistic framework for translating customer needs into engineering specifications, a challenge central to fields like product development and supply chain management. Though early in their career, Wang’s contributions are already shaping how researchers and practitioners handle multi-criteria decision-making under ambiguity. The paper’s citation count, while modest, reflects its growing influence in specialized communities focused on fuzzy logic and quality engineering. Wang’s work promises to advance both theoretical understanding and practical tools for industries seeking to align customer satisfaction with technical feasibility.
Research Focus
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Top Papers
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