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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">3042-0180</issn><issn pub-type="epub">3042-0180</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
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    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/scfa.vi.34</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Fuzzy soft set, Energy, Singular values.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Algorithms for Clustering Fuzzy Soft Sets Based on Their Energies</article-title><subtitle>Algorithms for Clustering Fuzzy Soft Sets Based on Their Energies</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Stojanović</surname>
		<given-names>Nenad </given-names>
	</name>
	<aff>Faculty of Science, University of Kragujevac, Radoja Domanovica 12, Kragujevac, 34000, Serbia.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Sezgin</surname>
		<given-names>Aslıhan </given-names>
	</name>
	<aff>Department of Mathematics and Science Education, Faculty of Education, Amasya University, Amasya, Turkey.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>21</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>3</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</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>Algorithms for Clustering Fuzzy Soft Sets Based on Their Energies</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			In this paper, we continue the study of fuzzy soft sets and their applications. Besides the significance of energy and λ-energy of fuzzy soft sets for developing decision-making algorithms, these energies are also crucial for forming data clustering algorithms. The main result of this work is the development of data clustering algorithms based on the energies of fuzzy soft sets.	
		</p>
		</abstract>
    </article-meta>
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