An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets

نویسندگان

  • Juan-juan Peng
  • Jian-qiang Wang
  • Hong-yu Zhang
  • Xiaohong Chen
چکیده

In this paper, a new outranking approach for multi-criteria decision-making (MCDM) problems is developed in the context of a 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 sets (SNSs) and relational properties are developed. Then some outranking relations for simplified neutrosophic number (SNNs) are defined, based on ELECTRE, and the properties within the outranking relations are further discussed in detail. Additionally, based on the outranking relations of SNNs, a ranking approach is developed in order to solve MCDM problems. Finally, two practical examples are provided to illustrate the practicality and effectiveness of the proposed approach. Moreover, a comparison analysis based on the same example is also conducted. © 2014 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Appl. Soft Comput.

دوره 25  شماره 

صفحات  -

تاریخ انتشار 2014