Fuzzy Optimization and Modeling Journal provides a global forum for exchanging research findings and case studies which bridge the latest fuzzy technology and various optimization techniques. It promotes how fuzzy technology improves decision techniques as well as how the development of optimization methods affects the fuzzy technology. The journal is peer-reviewed and publishes both high-quality theoretical and practical papers in the broad ranges of fuzzy optimization related topics.

Types of Articles

Research articles, Review articles, Case studies, Applied articles, Methodology, Short paper, Perspective, Conceptual and Technical notes.

All submitted manuscripts are checked for similarity through a trustworthy software named iThenticate to be assured about their originality and then rigorously peer-reviewed by international reviewers (The similarity rate must be below 20%). 

Articles in FOMJ are published under Creative Commons Attribution 4.0. International License https://creativecommons.org/licenses/by/4.0/. By submitting an article for publication, the authors consent to the grant of the said license.