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

被引:246
作者
Liu, Peide [1 ,2 ]
Wang, Yumei [1 ]
机构
[1] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China
[2] Civil Aviat Univ China, Sch Econ & Management, Tianjin 300300, Peoples R China
基金
中国国家自然科学基金;
关键词
Single-valued neutrosophic number; Bonferroni mean; Normalized weighted Bonferroni mean; Multiple attribute decision making; AGGREGATION OPERATORS;
D O I
10.1007/s00521-014-1688-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码:2001 / 2010
页数:10
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