文献类型：期刊文献

英文题名：Bonferroni Mean Operators of Linguistic Neutrosophic Numbers and Their Multiple Attribute Group Decision-Making Methods

作者：Fan, Changxing[1];Ye, Jun[2];Hu, Keli[1];Fan, En[1]

机构：[1]Shaoxing Univ, Dept Comp Sci, 508 Huancheng West Rd, Shaoxing 312000, Zhejiang, Peoples R China;[2]Shaoxing Univ, Dept Elect & Informat Engn, 508 Huancheng West Rd, Shaoxing 312000, Zhejiang, Peoples R China

年份：2017

卷号：8

期号：3

外文期刊名：INFORMATION

收录：EI(收录号：20174004227733)、ESCI(收录号：WOS:000418508900037)、Scopus(收录号：2-s2.0-85030108061)、WOS

基金：This work was supported by the National Natural Science Foundation of China under grant Nos. 61603258 and 61703280.

语种：英文

外文关键词：linguistic neutrosophic numbers (LNN); LNN normalized weighted Bonferroni mean (LNNNWBM) operator; LNN normalized weighted geometric Bonferroni mean (LNNNWGBM) operator; group decision-making

外文摘要：Linguistic neutrosophic numbers (LNN) is presented by Fang and Ye in 2017, which can describe the truth, falsity, and indeterminacy linguistic information independently. In this paper, the LNN and the Bonferroni mean operator are merged together to propose a LNN normalized weighted Bonferroni mean (LNNNWBM) operator and a LNN normalized weighted geometric Bonferroni mean (LNNNWGBM) operator and the properties of these two operators are proved. Further, multi-attribute group decision methods are introduced based on the proposed LNNNWBM and LNNNWGBM operators, and then an example is provided to demonstrate the application and validity of the proposed methods. In addition, in order to consider the effect of the parameters p and q on the decision results, different pairs of parameter values are employed to verify the decision results.