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  • 标题:Multi-valued interval neutrosophic linguistic soft set theory and its application in knowledge management
  • 本地全文:下载
  • 作者:Nor Liyana Amalini Mohd Kamal ; Lazim Abdullah ; Ilyani Abdullah
  • 期刊名称:CAAI Transactions on Intelligence Technology
  • 电子版ISSN:2468-2322
  • 出版年度:2020
  • 卷号:5
  • 期号:3
  • 页码:200-208
  • DOI:10.1049/trit.2020.0036
  • 出版社:IET Digital Library
  • 摘要:This study proposed the concepts of a multi-valued interval neutrosophic linguistic soft set (MVINLSS) by integrating the concepts of multi-valued interval neutrosophic soft set and linguistic set. MVINLSS is presented as it can deal with ambiguous and uncertain information in decision making which is characterised by linguistic membership. This proposed set amalgamates quantitative assessment with the qualitative assessment which can solve complex problems with ambiguity, uncertainty, and inconsistency. It can be an effective tool to describe the real decision-makers’ opinions and reflect their hesitancy. Then, the authors propose the basic operational rules of MVINLSS. Moreover, they define a multi-valued interval neutrosophic linguistic soft weighted arithmetic averaging operator. This work proposed a multi-criteria decision-making (MCDM) method which considers different priority levels of criteria and the criteria values take the form of multi-valued interval neutrosophic linguistic soft numbers. Finally, the proposed MCDM method is applied to the knowledge management case, considering 11 criteria.
  • 关键词:multivalued interval neutrosophic linguistic soft weighted arithmetic averaging operator; multicriteria decision-making method; MVINLSS; knowledge management; multivalued interval neutrosophic linguistic soft set theory; linguistic membership
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