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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">3042-1322</issn><issn pub-type="epub">3042-1322</issn><publisher>
      	<publisher-name>Rea Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48314/ramd.v1i1.46</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Ranking projects, Perceptual computer, Sustainability, Computing with words, Rule-based CWW engine</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>A Novel Ranking Model Based on Perceptual Computer (Per-C) for Selecting Sustainable Projects</article-title><subtitle>A Novel Ranking Model Based on Perceptual Computer (Per-C) for Selecting Sustainable Projects</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Khalilo</surname>
		<given-names>Ali </given-names>
	</name>
	<aff>Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Najafi</surname>
		<given-names> Seyed Esmaeil </given-names>
	</name>
	<aff>Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Rasinojehdehi</surname>
		<given-names>Reza </given-names>
	</name>
	<aff>Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>10</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>07</day>
        <month>10</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>A Novel Ranking Model Based on Perceptual Computer (Per-C) for Selecting Sustainable Projects</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Six Sigma is a comprehensive quantitative improvement method that can achieve impressive results. The projectbased approach eliminates waste, reduces costs, increases profits, and improves organization quality. Project evaluation and selection are initial activities in implementing Six Sigma and are crucial in organizations. There are many studies available to help decision-makers handle the process of project selection, but in many decision-making problems, they have to make decisions with incomplete information and under uncertain situations. On the other hand, regarding the development of new concepts, such as sustainability and its role in achieving key outcomes, we used the concepts of the Perceptual Computer (Per-C) method. We proposed a model that incorporates the sustainability concept into project selection. In this model, we designed a Rule-based Computing With Words (CWW) engine according to the three stages of the Per-C method, the outputs of which are in the form of a recommendation. Finally, we used a real-world case to demonstrate the proposed model.
		</p>
		</abstract>
    </article-meta>
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