Shouzhen Zeng

Zhejiang Wanli University, Ningbo University

Papers

Total Citations

136

H-Index

About

Shouzhen Zeng is a leading figure in decision-making theory and applied mathematics, with a focus on developing novel aggregation operators for uncertain information. His most-cited work, "The uncertain probabilistic OWA distance operator and its application in group decision making" (2013, 92 citations), introduces a powerful framework that combines probabilistic and distance-based reasoning to handle complex, ambiguous data in group settings—a breakthrough widely adopted in engineering and management science. Zeng also bridges theoretical advances with practical engineering, co-authoring "Multiobjective optimization framework for designing a vehicle suspension system" (2022, 42 citations), which leverages digital twins and optimization algorithms to reduce design time and manufacturing costs in the automotive industry. Additionally, he contributed to "Applied Mathematics for Engineering Problems in Biomechanics and Robotics" (2019), a special issue that underscores his role in translating mathematical methods into real-world solutions for robotics and biomechanics. With a career marked by high-impact publications and interdisciplinary collaboration, Zeng’s work continues to shape how researchers tackle uncertainty in decision-making and optimize complex systems, making him a key reference for students and engineers alike.