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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">3009-4496</issn><issn pub-type="epub">3009-4496</issn><publisher>
      	<publisher-name>Rea Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/masi.v2i3.73</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Data envelopment analysis, Data envelopment analysis-R, Performance evaluation, Tourism industry</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Neuro-Fuzzy Synergy: Intuitionistic Fuzzy-Based Learning for Smarter Decisions</article-title><subtitle>Neuro-Fuzzy Synergy: Intuitionistic Fuzzy-Based Learning for Smarter Decisions</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname> Robinson P</surname>
		<given-names>John</given-names>
	</name>
	<aff>Department of Mathematics, PG & Research, Bishop Heber College, Affiliated to Bharathidasan University, Tiruchirappalli, 620017, Tamil Nadu, INDIA.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>11</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>Neuro-Fuzzy Synergy: Intuitionistic Fuzzy-Based Learning for Smarter Decisions</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The primary objective of this study is to evaluate and compare the efficiency of 40 tourism companies operating in Fars Province using Data Envelopment Analysis (DEA) and its extended model, DEA-R. Two cost-related indicators, personnel expenses and total costs, were considered as inputs, while customer satisfaction and company revenue were selected as output criteria. The classical DEA model and the DEA-R model were applied to calculate the relative efficiency of each company. The results indicate that six companies achieved full efficiency (Score of 1), and the average efficiency scores across both models were very similar. The slight differences between the two models suggest that DEA-R improves the accuracy of evaluations by accounting for more detailed aspects while maintaining the overall structure of DEA results. This study can assist tourism company managers in identifying inefficiencies and optimizing resource allocation.   
		</p>
		</abstract>
    </article-meta>
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