Journal of Neutrosophic and Fuzzy Systems

Journal of Neutrosophic and Fuzzy Systems (JNFS) is an international, peer-reviewed journal dedicated to advancing research in fuzzy systems, neutrosophic theory, and their hybrid computational frameworks. The journal provides a scholarly platform for the publication of original research articles and review papers addressing both the theoretical foundations and practical applications of soft computing methodologies.

JNFS focuses on the development of fuzzy and neutrosophic models, their extensions, and their integration with modern computational techniques. The journal encourages contributions in areas such as decision-making systems, data mining, knowledge representation, granular computing, graph analytics, and hybrid intelligent systems, as well as emerging applications in science, engineering, and data-driven environments.

All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.

Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.

JNFS is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.

Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.