About the Journal
The Journal of Fuzzy Intelligence (JFI) is an international, peer-reviewed academic journal dedicated to advancing research in fuzzy systems, computational intelligence, and intelligent decision-making. JFI serves as a global platform for researchers, academicians, and practitioners to publish high-quality, original work that contributes to the theory and application of fuzzy methodologies.
The journal focuses on innovative approaches for modeling uncertainty, imprecision, vagueness, and complex decision environments using fuzzy logic and soft computing techniques. It encourages interdisciplinary research integrating fuzzy systems with artificial intelligence, machine learning, data science, engineering, management sciences, and real-world applications.
JFI is committed to maintaining high academic and ethical standards through a rigorous peer-review process. The journal welcomes original research articles, review papers, technical notes, and applied studies that demonstrate novelty, relevance, and scientific rigor. JFI follows international publication ethics and aims to meet the criteria for major indexing databases, including Scopus.
Our mission is to promote scientific exchange, support emerging research trends, and contribute to global advancements in fuzzy intelligence and intelligent decision-making.
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Editor-in-Chief
Prof. Dr. Saleem Abdullah
Abdul Wali Khan University Mardan, Mardan, KP, Pakistan
Email: saleemabdullah@awkum.edu.pk
See Full Editorial Board: Managing Editor & Associate Editors
