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    Fuzzy Optimization and Modeling Journal ( Scientific )
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    کسب رتبه ب نشریه از کمیسیون نشریات وزارت علوم تحقیقات و فناوری

    It is our pleasure to announce that

    "Fuzzy Optimization and Modeling Journal"

    has been recently indexed in

    Ministry of Science, Research and Technology (MSRT), Grade B

    https://journals.msrt.ir/home/detail/16043/

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

    This journal is the following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws.

    Fuzzy Optimization and Modeling Journal is an international scholary open access journal and provides a forum for orginal study in the field of uncertain optimization and modeling problems. All papers published in Fuzzy Optimization and Modeling Journal are critically refereed according to international standards. Any paper will either be accepted (possibly with minor revisions) either submitted to another evaluation (after a major revision) or rejected. Every effort will be made by the Editorial Board to ensure a first answer concerning a submitted paper within two months, and a final decision in a period of time not exceeding four months.

    Manuscripts should be written in English, following the style of our journal in what concerns the technical preparation of the papers. The template and style of our journal could be downloaded from Guide for Authors.

    The journal will consider papers for publication in the following areas:

    Theory and Methodology papers: Papers extending uncertainty theory in the context of fuzzy, stochastic and interval modeling and optimization.

    Case Study papers: Papers describing the solution to an actual problem arising in uncertain optimization and modeling problems.

    Algorithmic Developments: Papers establishing computational complexity in presenting new algorithms to solve uncertain optimization problems.

     

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    Statistics

    Number of Volumes 5
    Number of Issues 18
    Printed Articles 100
    Number of Authors 331
    Article Views 19678
    Article Downloads 4327
    Number of Submitted Articles 167
    Number of Rejected Articles 51
    Number of Accepted Articles 104
    Acceptance 61 %
    Time to Accept(day) 104
    Reviewer Count 20
    Last Update 1403/08/27