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  <timestamp>20261008000034</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>American Journal of Business and Operations Research</full_title>
    <abbrev_title>AJBOR</abbrev_title>
    <issn media_type="print">2770-0216</issn>
    <issn media_type="electronic">2692-2967</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2020</year>
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    <journal_volume>
     <volume>1</volume>
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    <issue>1</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>A New Similarity Measure of Picture Fuzzy Sets And Application in pattern recognition</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ngoc Minh Chau, Nguyen Thi Lan, Nguyen Xuan</given_name>
      <surname>Thao</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty of Information Technology, Vietnam National University of Agriculture, Vietnam</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, we propose some novel similarity measures between picture fuzzy sets. The novel similarity measure is constructed by combining negative functions of each degree membership of picture fuzzy set. We apply them in several pattern recognition problems. Finally, we apply them to find the fault diagnosis of the steam turbine.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2020</year>
    </publication_date>
    <pages>
     <first_page>5</first_page>
     <last_page>18</last_page>
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     <item_number item_number_type="article-number">6</item_number>
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     <doi>10.54216/AJBOR.010101</doi>
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