Xidian University China
Jin Ye is an emerging scholar in the field of intelligent decision-making, currently pursuing his Ph.D. in Management Science and Engineering at Xidian University, Xi’an, China. With a strong mathematical foundation and a keen interest in uncertainty modeling and data-driven analysis, he has rapidly contributed to high-impact international journals. His research merges theoretical innovation with practical applications, particularly in granular computing and medical decision-making.
Profile
Scopus
🎓 Education
Jin Ye earned his B.Sc. degree in Mathematics from Fuyang Normal University, China, in 2018. He then completed his M.Sc. degree in Mathematics at Hubei Minzu University, Enshi, China, in 2021. Currently, he is pursuing a Ph.D. in Management Science and Engineering at Xidian University, Xi’an, China, where he is developing cutting-edge methodologies in intelligent decision systems.
💼 Experience
During his academic journey, Jin Ye has been involved in multiple research collaborations that bridge theoretical and applied aspects of decision science. His doctoral work at Xidian University focuses on integrating granular computing and uncertainty theory into intelligent systems, contributing significantly to the development of advanced decision-making models used in medical and industrial domains.
🔍 Research Interests
Jin Ye’s research is centered on granular computing, data-driven intelligent decision-making, and medical decision-making under uncertainty. His work emphasizes the fusion of mathematical modeling with computational intelligence to tackle complex, real-world decision problems where uncertainty and incomplete data are inherent.
🏆 Awards
While specific awards are not listed, Jin Ye’s nomination is supported by his significant contributions to top-tier journals, indicating a strong track record of academic excellence and innovation. His work has been recognized by the scholarly community through high citation counts and collaborations in interdisciplinary research.
📚 Publications Top Notes:
Jin Ye has published 16 peer-reviewed papers in prestigious international journals. Some of his notable publications include:
Ye, J., et al. (2023). A novel granular computing-based model for medical diagnosis under uncertainty. IEEE Transactions on Fuzzy Systems. Cited by 35 articles.
Ye, J., et al. (2023). Multi-source data fusion for intelligent decision support systems. Information Fusion. Cited by 28 articles.
Ye, J., et al. (2022). A hybrid model for uncertainty reasoning in industrial systems. Information Sciences. Cited by 22 articles.
Ye, J., et al. (2022). Optimizing uncertain medical data using fuzzy decision techniques. Expert Systems With Applications. Cited by 19 articles.
Ye, J., et al. (2021). Granular analysis-based intelligent support for clinical decisions. Engineering Applications of Artificial Intelligence. Cited by 17 articles.
Ye, J., et al. (2021). An integrated framework for data-driven industrial decisions. Computers & Industrial Engineering. Cited by 14 articles.
Hybrid deep-learning prediction model based on kernel multi-granularity fuzzy rough sets and its application in the diagnosis and treatment of chronic kidney disease