Guolin Tang | Decision Sciences | Best Researcher Award
Guolin Tang , Shandong University of Finance and Economics,China
Guolin Tang (born December 13, 1989) is a Lecturer at the School of Management Science and Engineering, Shandong University of Finance and Economics, since September 2020. He holds a Ph.D. in Management Science and Engineering from Beijing University of Technology and was a visiting Ph.D. student at De Montfort University, UK. His research focuses on data analysis, group decision-making, granular computing, and optimization. He has secured multiple research grants and published extensively in high-impact journals.
Publication Profile
Scopus
Education
Guolin Tang earned his Ph.D. in Management Science and Engineering from Beijing University of Technology (BJUT), China, where he studied from September 2016 to June 2020 under the supervision of Prof. Chao Liu. During his doctoral studies, he also served as a visiting Ph.D. student at De Montfort University, UK, from November 2018 to January 2020, working under the guidance of the same advisor. Prior to his doctoral research, he completed a Master of Science in Management Science and Engineering at Shandong University of Finance and Economics from September 2013 to June 2016, mentored by Professors Peide Liu and Weilong Liu. He began his academic journey with a Bachelor of Science in Information Management and Information Systems at the same university, where he studied from September 2009 to June 2013.
Experience
Guolin Tang’s research expertise spans data analysis, group decision-making, granular computing, and optimization. He has led and contributed to multiple research grants since 2016. As a Principal Investigator, he has secured funding from the Shandong Natural Science Foundation (2022–2024) with a grant of ¥150,000, the Humanities and Social Sciences Fund (2021–2023) with ¥80,000, and the BJUT Graduate Students Foundation (2016–2017) with ¥6,000. Additionally, he has participated in significant national projects, including two grants from the National Natural Science Foundation of China—one from 2018 to 2021 worth ¥610,000 and another from 2018 to 2020 totaling ¥240,000. His work contributes to advancing decision-making models and optimization techniques in complex environments.
Awards and Honors
Guolin Tang has led multiple research projects as a Principal Investigator (PI), including a BJUT Graduate Students Foundation project (2016–2017) on decision-making models (¥6,000), a Shandong Natural Science Foundation project (2022–2024) on data-driven online medical decision-making (¥150,000), and a Humanities and Social Sciences Fund project (2021–2023) on online doctor recommendation models (¥80,000). As a participant, he contributed to National Natural Science Foundation of China projects on financial regulatory optimization (¥610,000, 2018–2021) and real estate financial risk warning systems (¥240,000, 2018–2020). His research significantly advances decision science, financial risk management, and healthcare informatics.
Research Focus
Guolin Tang’s research interests include data analysis, group decision-making, granular computing, and optimization. Since 2016, he has secured multiple research grants. As a Principal Investigator (PI), he led a BJUT Graduate Students Foundation project (2016–2017) on decision-making models (¥6,000), a Shandong Natural Science Foundation project (2022–2024) on online medical decision-making (¥150,000), and a Humanities and Social Sciences Fund project (2021–2023) on doctor recommendation models (¥80,000). As a participant, he contributed to National Natural Science Foundation of China projects on financial regulatory optimization (¥610,000, 2018–2021) and financial risk early warning systems (¥240,000, 2018–2020). His work significantly advances decision science and financial risk management.
Publications
- A multi-objective q-rung orthopair fuzzy programming approach – Information Sciences, 2023
- Mathematical programming for online physician selection – Information Fusion, 2023 (IF: 17.564)
- Interval type-2 fuzzy programming for risky decision-making – Information Sciences, 2022 (IF: 8.233)
- Decision-making for mobile medical app evaluation – Expert Systems with Applications, 2022 (IF: 8.665)
- Evaluating service quality of Chinese commercial banks – Knowledge-Based Systems, 2020 (IF: 8.139)
- Stock investment evaluation using q-rung orthopair fuzzy information – Applied Soft Computing, 2020 (IF: 8.263)
- Data-driven approach to autonomous fuzzy clustering – IEEE Transactions on Fuzzy Systems, 2022 (IF: 12.253)
- Multi-objective evolutionary optimization for fuzzy classifiers – IEEE Transactions on Fuzzy Systems, 2022 (IF: 12.253)
- Multicriteria decision making with incomplete weights – IEEE Transactions on Cybernetics, 2021 (IF: 19.118)
- Hesitant fuzzy linguistic aggregation in decision making – International Journal of Fuzzy Systems, 2019 (IF: 4.085)