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首页> 外文期刊>Neural computing & applications >Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean
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Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean

机译:Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean

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摘要

In this paper, we proposed a single-valued neutrosophic normalized weighted Bonferroni mean (SVNNWBM) operator on the basis of Bonferroni mean, the weighted Bonferroni mean (WBM), and the normalized WBM. Firstly, the definition, operational laws, characteristics, and comparing method of single-valued neutrosophic numbers (SVNNs) are introduced. Then, the SVNNWBM operator is developed, and some properties and special cases of this operator are analyzed. Furthermore, an approach is developed to solve the multiple attribute decision-making problems with SVNNs based on the SVNNWBM operator. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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