Aims and scope

The Journal of Fuzzy Intelligence is an international, peer-reviewed scholarly journal dedicated to publishing high-quality research that advances theory, methodology, and applications in fuzzy systems and intelligent decision-making. The journal aims to:

Provide a reputable platform for disseminating original research contributing to the development of fuzzy logic and computational intelligence.

Promote interdisciplinary research linking fuzzy methodologies with artificial intelligence, data science, information systems, engineering, and decision sciences.

Encourage the adoption of fuzzy-based models for handling uncertainty, imprecision, and vagueness in complex real-world environments.

Support global scientific exchange by publishing rigorous research, reviews, case studies, and technical notes that demonstrate novelty, relevance, and methodological soundness.

The journal adheres to international publication ethics, rigorous peer review, and quality standards required for inclusion in Scopus and other indexing services.

The Journal of Fuzzy Intelligence welcomes original contributions that fall within, but are not limited to, the following areas:

1. Fuzzy Set Theory and Extensions

2. Fuzzy Decision-Making and Optimization

3. Computational and Artificial Intelligence

4. Intelligent Control, Automation, and Engineering Applications

5. Mathematical Modeling and Fuzzy Systems

6. Applied Fuzzy Intelligence in Real-World Domains

7. Emerging and Interdisciplinary Trends

8. Fuzzy Graph Theory and Applications