Journal article Open Access

An multi-criteria decision-making approach based on Choquet integral-based TOPSIS with simplified neutrosophic sets

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


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Juan-juan Peng</dc:creator>
  <dc:creator>Jian-qiang Wang</dc:creator>
  <dc:creator>Xiao-hui Wu</dc:creator>
  <dc:creator>Chao Tian</dc:creator>
  <dc:creator>Xiao-hong Chen</dc:creator>
  <dc:date>2015-06-27</dc:date>
  <dc:description>In this paper, the new approach for multi-criteria decision-making (MCDM) problems is developed
based on Choquet integral in the context of simplified neutrosophic environment, where the truth-membership
degree, indeterminacy-membership degree and falsity-membership degree for each element are singleton
subsets in [0,1]. Firstly, the novel operations of simplified neutrosophic numbers (SNNs) and relational
properties are discussed, and the comparison method and distance of SNNs are presented as well.</dc:description>
  <dc:identifier>https://zenodo.org/record/32243</dc:identifier>
  <dc:identifier>10.5281/zenodo.32243</dc:identifier>
  <dc:identifier>oai:zenodo.org:32243</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Multi-criteria decision-making</dc:subject>
  <dc:subject>simplified neutrosophic sets</dc:subject>
  <dc:subject>Choquet integral</dc:subject>
  <dc:title>An multi-criteria decision-making approach based on Choquet integral-based TOPSIS with simplified neutrosophic sets</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
</oai_dc:dc>
39
11
views
downloads
All versions This version
Views 3939
Downloads 1111
Data volume 4.0 MB4.0 MB
Unique views 3333
Unique downloads 1010

Share

Cite as