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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Journal of Resource Management and Decision Engineering</JournalTitle>
      <Issn></Issn>
      <Volume>5</Volume>
      <Issue>Serial Number 14</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>10</Month>
        <Day>19</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Identification and Prioritization of Factors Affecting E-Learner Satisfaction in Mathematics Based on the Fuzzy Analytic Hierarchy Process (Case Study: Farhangian University of Mazandaran)</ArticleTitle>
    <VernacularTitle>Identification and Prioritization of Factors Affecting E-Learner Satisfaction in Mathematics Based on the Fuzzy Analytic Hierarchy Process (Case Study: Farhangian University of Mazandaran)</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>10</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.jrmde.175</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>05</Month>
        <Day>23</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The purpose of this study was to evaluate the factors influencing the satisfaction of mathematics students in an e-learning environment. To achieve this goal, a library-based and descriptive research method was employed. The statistical population consisted of experts, mathematics specialists, and e-learning curriculum planners at Farhangian University of Mazandaran. The sample included seven experts who were purposively selected based on the research objectives and questions. Based on the theoretical literature and in consultation with experts and specialists, the factors and criteria of e-learning environment quality were categorized into four main dimensions—technical system and technology infrastructure quality, educational quality, information and content quality, and service quality—comprising a total of 24 criteria. The weight of each of these indicators within the studied population was determined using an expert questionnaire and the Fuzzy Analytic Hierarchy Process (FAHP). Data analysis was performed using the Super Decisions software. The findings revealed that, in terms of importance, the factors related to technical systems and technology infrastructure, technology and instructional design, content development, and support services were evaluated and ranked, respectively, as the key determinants of e-learning environment quality.&lt;/p&gt;</Abstract>
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      <Object Type="keyword">
        <Param Name="value">ranking</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">e-learning</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">satisfaction</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Analytic Hierarchy Process (AHP)</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">fuzzy numbers</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journalrmde.com/index.php/jrmde/article/download/175/319</ArchiveCopySource>
  </Article>
</ArticleSet>
