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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-1330</issn><issn pub-type="epub">3042-1330</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48313/uda.v1i1.16</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Graph, Soft expert set, Intuitionistic fuzzy soft set, Intuitionistic fuzzy soft expert set, Intuitionistic fuzzy soft expert graph</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Intuitionistic fuzzy soft expert graphs with application</article-title><subtitle>Intuitionistic fuzzy soft expert graphs with application</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Uluçay</surname>
		<given-names>Vakkas</given-names>
	</name>
	<aff>Department of Mathematics, Kilis 7 Aralık University, Kilis-Turkey.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Şahin</surname>
		<given-names>Memet</given-names>
	</name>
	<aff>Department of Mathematics, Gaziantep University, Gaziantep-Turkey.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>06</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>01</day>
        <month>06</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>1</issue>
      <permissions>
        <copyright-statement>© 2024 REA Press</copyright-statement>
        <copyright-year>2024</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Intuitionistic fuzzy soft expert graphs with application</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Many fields deal with uncertain data. Classical mathematical tools are unable to solve uncertain data in many situations. There are several theories, viz., the theory of probability, fuzzy set, and intuitionistic fuzzy set, for dealing with uncertainties, but they have their own difficulties. The reason for the difficulties is the inadequacy of the parameterization tools of the theories. The parameterization tools of soft set theory enhance the flexibility of its application. This paper introduces the concept of intuitionistic fuzzy soft expert graph, union, and the intersection of intuitionistic fuzzy soft expert graph. Finally, the new concept is the intuitionistic fuzzy soft expert graph-based multi-criteria decision-making method.
		</p>
		</abstract>
    </article-meta>
  </front>
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