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Neural Computing and Applications
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Multiple attribute decision-making method based on some normal neutrosophic Bonferroni mean operators

Authors: Peide Liu; Honggang Li;

Multiple attribute decision-making method based on some normal neutrosophic Bonferroni mean operators

Abstract

Normal neutrosophic numbers (NNNs) are a significant tool of describing the incompleteness, indeterminacy and inconsistency of the decision-making information. In this paper, we firstly propose the definition and the properties of the NNNs, and the accuracy function, the score function and the operational laws of the NNNs are developed. Then, some operators are presented, including the normal neutrosophic Bonferroni mean (NNBM) operator, the normal neutrosophic weighted Bonferroni mean (NNWBM) operator, the normal neutrosophic geometric Bonferroni mean (NNGBM) operator, the normal neutrosophic weighted geometric Bonferroni mean (NNWGBM) operator. We also study their properties and special cases. Further, we put forward a multiple attribute decision making method which is based on the NNWBM and NNWGBM operators. Finally, an illustrative example is given to verify the practicality and validity of the proposed method.

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Keywords

Multiple attribute decision making, Normal neutrosophic numbers

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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