June 27, 2015 Journal article Open Access

Juan-juan Peng; Jian-qiang Wang; Xiao-hui Wu; Chao Tian; Xiao-hong Chen

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  <identifier identifierType="DOI">10.5281/zenodo.32243</identifier>
  <creators>
    <creator>
      <creatorName>Juan-juan Peng</creatorName>
    </creator>
    <creator>
      <creatorName>Jian-qiang Wang</creatorName>
    </creator>
    <creator>
      <creatorName>Xiao-hui Wu</creatorName>
    </creator>
    <creator>
      <creatorName>Chao Tian</creatorName>
    </creator>
    <creator>
      <creatorName>Xiao-hong Chen</creatorName>
    </creator>
  </creators>
  <titles>
    <title>An multi-criteria decision-making approach based on Choquet integral-based TOPSIS with simplified neutrosophic sets</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2015</publicationYear>
  <subjects>
    <subject>Multi-criteria decision-making</subject>
    <subject>simplified neutrosophic sets</subject>
    <subject>Choquet integral</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2015-06-27</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/32243</alternateIdentifier>
  </alternateIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In this paper, the new approach for multi-criteria decision-making (MCDM) problems is developed&lt;br /&gt;
based on Choquet integral in the context of simplified neutrosophic environment, where the truth-membership&lt;br /&gt;
degree, indeterminacy-membership degree and falsity-membership degree for each element are singleton&lt;br /&gt;
subsets in [0,1]. Firstly, the novel operations of simplified neutrosophic numbers (SNNs) and relational&lt;br /&gt;
properties are discussed, and the comparison method and distance of SNNs are presented as well.&lt;/p&gt;</description>
  </descriptions>
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