Xunjie Gou

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About

Xunjie Gou is a prominent researcher in the fields of fuzzy decision-making, multi-criteria analysis, and intelligent system evaluation. His work focuses on advancing the theoretical foundations and practical applications of Pythagorean fuzzy sets, a powerful tool for handling uncertainty in complex decision environments. Gou’s major contribution lies in developing an improved approach to quality function deployment (QFD) that integrates Pythagorean fuzzy sets, enabling more robust and flexible evaluation of design alternatives. This methodology has been particularly impactful in engineering contexts, such as the evaluation of assembly robot designs, where it enhances the precision and reliability of design selection processes. His most-cited paper, "Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly robot design evaluation" (2019), has garnered 15 citations, reflecting its influence in both academic and applied settings. Gou’s work bridges theoretical innovation with real-world engineering challenges, offering practical tools for decision-makers in manufacturing and robotics. His research continues to inspire advancements in fuzzy logic, decision support systems, and industrial design evaluation, making him a key figure in the evolution of intelligent decision-making methodologies.