Worldwide Research Trends in Fuzzy Logic for Computational Intelligence: A Bibliometric and Network Analysis

This study presents a comprehensive bibliometric and network analysis of global research trends in fuzzy logic for computational intelligence spanning the period 1996–2024. Using publication, citation, co-authorship, and keyword co-occurrence data, the analysis reveals a sustained rise in research output, indicating the field’s maturity and enduring scholarly relevance. High-impact Q1 journals, particularly IEEE Transactions on Fuzzy Systems , Applied Soft Computing, and Information Sciences , emerge as the primary outlets for dissemination, demonstrating the rigorous and high-quality nature of research in the domain. Country-wise mapping highlights China, India, and the United States as leading contributors, supported by strong international collaborative clusters involving globally recognised institutions such as MIT, the Chinese Academy of Sciences, IITs, and Kyushu University. Influential authors, including M. Sugeno, J. Mendel, and H. Wang, show significant contributions to the development of advanced fuzzy methodologies and hybrid intelligence models. Thematic evolution indicates a shift from foundational fuzzy control and inference systems to emerging interdisciplinary applications, particularly in IoT-enabled systems, autonomous robotics, smart healthcare, and optimisation-driven decision support. Overall, the findings underscore fuzzy logic’s dynamic progression and its expanding role in addressing modern technological challenges across diverse sectors.