Jiaxin Liu | Management | Research Excellence Award

Ms. Jiaxin Liu | Management | Research Excellence Award

Heilongjiang Bayi Agricultural University | China

Ms. Jiaxin Liu is a researcher in financial accounting and capital market policy, with a focus on government-guided funds and patient capital formation. Her peer-reviewed article in the International Review of Financial Analysis examines how government-guided funds influence long-term capital allocation in China’s Growth Enterprise Market. Her research integrates empirical financial analysis with policy evaluation, emphasizing corporate governance, agency costs, and productivity effects. She has participated in multiple regional social science research projects and contributes to evidence-based policy research in emerging financial markets. Her work highlights the role of public financial instruments in fostering sustainable, innovation-oriented economic growth.

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Fei Wang | Management Science | Best Researcher Award

Dr. Fei Wang | Management Science | Best Researcher Award

Lecturer at Hebei University of Economics and Business, China

Wang Fei is a lecturer at the School of Management Science and Engineering, Hebei University of Economics and Business. His research focuses on decision theory and methods, with expertise in fuzzy decision-making, multi-criteria decision-making (MCDM), and uncertainty modeling. He has published several high-impact papers in international journals and has led and participated in multiple research projects.

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Economics and Management (September 2019 – January 2023)
    Yanshan University, School of Economics and Management
  • Master’s Degree in Economics and Management (September 2016 – June 2019)
    Yanshan University, School of Economics and Management

Professional Experience 💼

  • Lecturer (January 2023 – Present)
    School of Management Science and Engineering, Hebei University of Economics and Business

Research Interests 🔬

  • Decision Theory and Methods
  • Multi-Criteria Decision-Making (MCDM)
  • Fuzzy Systems and Uncertainty Modeling
  • Artificial Intelligence in Decision-Making
  • Data Science Applications in Management

Publications & Research Contributions

Wang Fei has authored several journal papers in high-impact publications, including Information Sciences and International Journal of Intelligent Systems. His research contributions include:

  • Development of novel multi-criteria decision-making (MCDM) models using fuzzy logic and prospect theory.
  • Applications of cubic fuzzy sets and similarity measurements in decision-making problems.
  • Exploration of neutrosophic and hesitant fuzzy systems in intelligent decision analysis.

Research Projects

Lead Investigator:

  • Hebei Education Department Science Research Project: “Research on Cubic Fuzzy Multi-Criteria Decision-Making Method and Its Applications” (Project No. BJK2024132)

Co-Investigator:

  • Public Opinion and Threat Analysis in Social Networks (Project No. 2019041201003)
  • Spatiotemporal Fuzzy Grading for Service Group Recommendation (Project No. HB19GL009)
  • Fuzzy Situation Analysis in Public Crisis Management (Project No. SQ201031)

Awards and Honors🏆✨

  • Recognized for contributions to fuzzy multi-criteria decision-making in academic research.
  • Published in top-tier international journals in the field of decision science and artificial intelligence.
  • Secured research funding for fuzzy logic applications in decision-making.

Conclusion🌟

Wang Fei is an emerging researcher in decision science and fuzzy logic-based multi-criteria decision-making. His work integrates mathematical modeling, uncertainty theory, and artificial intelligence, contributing to the advancement of intelligent decision support systems. As a lecturer and active researcher, he continues to drive innovations in fuzzy MCDM and its real-world applications.

Publications 📚

1️⃣ Novel score function and standard coefficient-based single-valued neutrosophic MCDM for live streaming sales
🏛 Journal: Information Sciences
📅 Date: January 2024
🔗 DOI: 10.1016/j.ins.2023.119836
Contributor(s): Fei Wang


2️⃣ Similarity and Pythagorean reliability measures of multivalued neutrosophic cubic set and its application to multiple‐criteria decision‐making
🏛 Journal: International Journal of Intelligent Systems
📅 Date: January 2022
🔗 DOI: 10.1002/int.22618
📖 ISSN: 0884-8173 / 1098-111X
Contributor(s): Fei Wang, Xiaodong Zhao


3️⃣ Prospect‐theory and geometric distance measure‐based Pythagorean cubic fuzzy multicriteria decision‐making
🏛 Journal: International Journal of Intelligent Systems
📅 Date: August 26, 2021
🔗 DOI: 10.1002/int.22453
Contributor(s): Fei Wang, Xiaodong Zhao