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  <front>

    <journal-meta>

      <journal-title>Information Technology Journal</journal-title>

      <issn pub-type="ppub">1812-5638</issn>

      <issn pub-type="epub">1812-5646</issn>

      <publisher>

        <publisher-name>Asian Network for Scientific Information</publisher-name>

      </publisher>

    </journal-meta>


    <article-meta>

      <article-id pub-id-type="doi">10.3923/itj.2012.500.503</article-id>


      <title-group>

        <article-title><![CDATA[Intelligent Target Fusion Recognition Based on Fuzzy Petri Nets]]></article-title>

      </title-group>


      <contrib-group>

        <contrib contrib-type="author" xlink:type="simple">


          <name name-style="western">

            <surname>Zhi-fu</surname>

            <given-names>Shi</given-names>

          </name>


        </contrib>

      </contrib-group>


      <pub-date pub-type="collection">


        <month>4</month>




        <year>2012</year>

      </pub-date>


      <volume>11</volume>

      <issue>4</issue>


      <abstract><![CDATA[<p>For target recognition under complex environment, a target fusion recognition method based fuzzy sets and Petri net was brought out. The method first process the target data using fuzzy sets theory, including divide the characters into different status respectively and calculate the degree of membership function. Then the results of fuzzy classify and fuzzy recognition rules are modeled with fuzzy Petri nets. The target type estimation was gained through fuzzy Petri net inference. A simulation example demonstrates the validity of the model and the reliability of the inference results.</p>]]></abstract>


    </article-meta>

  </front>


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</article>

