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    <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.v1i1.29</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Fuzzy set , SE set, SEA-space, SER-approximations</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Soft expert approach in rough fuzzy set and its application in MCDM problem</article-title><subtitle>Soft expert approach in rough fuzzy set and its application in MCDM problem</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Vijayabalaji</surname>
		<given-names>Srinivasan </given-names>
	</name>
	<aff>Department of Mathematics, University College of Engineering Panruti, Tamilnadu, India.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Kalaiselvan</surname>
		<given-names>Shanmugam</given-names>
	</name>
	<aff>Department of Mathematics, University College of Engineering Panruti, Tamilnadu, India.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Davvaz</surname>
		<given-names>Bijan</given-names>
	</name>
	<aff>Department of Mathematical Sciences, Yazd University, Yazd, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Broumi</surname>
		<given-names>Said</given-names>
	</name>
	<aff>Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>11</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>12</day>
        <month>11</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>Soft expert approach in rough fuzzy set and its application in MCDM problem</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			One of the interesting parts in the study of uncertainty is to learn about their fusion models. In particular, while studying about fuzzy set and rough set, one may be interested to know about their joint models. Rough fuzzy sets and fuzzy rough sets are those types. After the introduction of soft sets, many research developments started emerging both in the theoretical and application prospective manner. Though this theory sounds good, it has its own limitation in describing expert opinion. To overcome this difficulty the novel idea of soft expert set was being developed. This paper attempts to inter-relate soft expert set with rough fuzzy set in theoretical aspect. An approach to decision-making situation based on the soft expert rough fuzzy set model is also given in a lucid manner.
		</p>
		</abstract>
    </article-meta>
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