Neutrosophic and Information Fusion

Neutrosophic and Information Fusion (NIF) is an international, peer-reviewed scholarly journal focused on the development and application of neutrosophic systems, information fusion, and uncertainty-aware computational methodologies. The journal publishes high-quality theoretical, methodological, and applied research addressing the representation, integration, analysis, and interpretation of uncertain, incomplete, inconsistent, and indeterminate information. Its scope encompasses neutrosophic theory, multi-source information fusion, evidence aggregation, intelligent decision systems, computational intelligence, data analytics, and related approaches for complex decision-making environments. NIF welcomes original research articles, review papers, and application-oriented studies that make a clear scientific contribution to the advancement of neutrosophic and information-fusion methodologies.

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.

NIF 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.