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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>American Journal of Applied Mathematics and Statistics</journalTitle>
    <eissn>2328-7292</eissn>
    <publicationDate>2018-05-02</publicationDate>
    <volume>6</volume>
    <issue>2</issue>
    <startPage>67</startPage>
    <endPage>71</endPage>
    <doi>10.12691/ajams-6-2-5</doi>
    <publisherRecordId>AJAMS2018625</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Application of Fuzzy Relation Equations to Student Assessment</title>
    <authors>
      <author>
        <name>Michael Gr. Voskoglou</name>
        <email>voskoglou@teiwest.gr, mvosk@hol.gr</email>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Mathematical Sciences, Graduate Technological Educational Institute of Western Greece, Patras, Greece</affiliationName>
    </affiliationsList>
    <abstract language="eng">Mathematical modelling appears today as a dynamic tool for teaching/learning mathematics, because it connects mathematics with real world applications and therefore increases the student interest on the subject. Fuzzy relation equations, which are obtained by the composition of binary fuzzy relations, are used in this work as a tool for evaluating student mathematical modelling skills. A classroom application and other suitable examples are also presented illustrating our results.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/ajams/6/2/5/ajams-6-2-5.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>Fuzzy Sets (FS)</keyword>
      <keyword>Fuzzy Binary Relations (FBR)</keyword>
      <keyword>Fuzzy Relation Equations (FRE)</keyword>
      <keyword>Mathematical Modelling (MM)</keyword>
      <keyword>student assessment</keyword>
    </keywords>
  </record>
</records>