4.6 Article

Multiple attribute group decision-making method based on neutrosophic number generalized hybrid weighted averaging operator

Journal

NEURAL COMPUTING & APPLICATIONS
Volume 28, Issue 8, Pages 2063-2074

Publisher

SPRINGER LONDON LTD
DOI: 10.1007/s00521-016-2180-4

Keywords

Multiple attribute group decision making; Neutrosophic numbers; Neutrosophic number generalized aggregation operator

Funding

  1. National Natural Science Foundation of China [71471172, 71271124]
  2. Special Funds of Taishan Scholars Project of Shandong Province
  3. National Soft Science Project of China [2014GXQ4D192]
  4. Humanities and Social Sciences Research Project of Ministry of Education of China [13YJC630104]
  5. Shandong Provincial Social Science Planning Project [15BGLJ06]

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Neutrosophic number is an important tool which is used to express indeterminate evaluation information. The purpose of the paper is to propose some aggregation operators based on neutrosophic number, which are used to handle multiple attribute group decision-making problems. Firstly, we introduce the definition, the properties and the operational laws of the neutrosophic numbers, and the possibility degree function is briefly introduced. Then, some neutrosophic number operators are proposed, such as the neutrosophic number weighted arithmetic averaging operator, the neutrosophic number ordered weighted arithmetic averaging operator, the neutrosophic number hybrid weighted arithmetic averaging operator, the neutrosophic number weighted geometric averaging operator, the neutrosophic number ordered weighted geometric averaging operator, the neutrosophic number hybrid weighted geometric averaging operator, the neutrosophic number generalized weighted averaging operator, the neutrosophic number generalized ordered weighted averaging operator, the neutrosophic number generalized hybrid weighted averaging (NNGHWA) operator. Furthermore, some properties of these operators are discussed. Moreover, a multiple attribute group decision-making method based on the NNGHWA operator is proposed. Finally, an illustrative example is proposed to demonstrate the practicality and effectiveness of the method.

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