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Volume 6 Issue 2
Mar.  2019

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2019  >  6(2): 575-583
Chunfang Liu and Yuesheng Luo, "Power Aggregation Operators of Simplified Neutrosophic Sets and Their Use in Multi-attribute Group Decision Making," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 575-583, Mar. 2019. doi: 10.1109/JAS.2017.7510424
Citation: Chunfang Liu and Yuesheng Luo, "Power Aggregation Operators of Simplified Neutrosophic Sets and Their Use in Multi-attribute Group Decision Making," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 575-583, Mar. 2019. doi: 10.1109/JAS.2017.7510424
shu

Power Aggregation Operators of Simplified Neutrosophic Sets and Their Use in Multi-attribute Group Decision Making

doi: 10.1109/JAS.2017.7510424
  • 1.

    College of Science, Northeast Forestry University, Harbin 150040, China, and also with the College of Automation, Harbin Engineering University, Harbin 150001, China

  • 2.

    College of Automation, Harbin Engineering University, Harbin 150001, China

Funds:

the National Natural Science Foundation of China 11401084

Harbin Science Technology Innovation Talent Research Fund 2016RQQXJ230

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    Abstract
  • The simplified neutrosophic set (SNS) is a useful generalization of the fuzzy set that is designed for some practical situations in which each element has different truth membership function, indeterminacy membership function and falsity membership function. In this paper, we develop a series of power aggregation operators called simplified neutrosophic number power weighted averaging (SNNPWA) operator, simplified neutrosophic number power weighted geometric (SNNPWG) operator, simplified neutrosophic number power ordered weighted averaging (SNNPOWA) operator and simplified neutrosophic number power ordered weighted geometric (SNNPOWG) operator. We present some useful properties of the operators and discuss the relationships among them. Moreover, an approach to multi-attribute group decision making (MAGDM) within the framework of SNSs is developed by the above aggregation operators. Finally, a practical application of the developed approach to deal with the problem of investment is given, and the result shows that our approach is reasonable and effective in dealing with uncertain decision making problems.

     

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