计算机工程与应用2017，Vol.53Issue(21)：85-90,125,7.DOI:10.3778/j.issn.1002-8331.1705-0129
犹豫语言信息集成算法及其数据库选择应用
Hesitant linguistic information aggregation algorithm and its application to select database
摘要
Abstract
For the Multi-Attribute Group Decision Making(MAGDM)problem under the hesitant fuzzy linguistic envi-ronment, based on Hesitant Linguistic Geometric Bonferroni Mean(HLGBM)operator, a novel MAGDM model is devel-oped, which is considering the importance of each attribute and the interrelationships among them. Firstly, based on the hesitant linguistic operational laws with Archimedean T-norm and S-norm, this paper proposes the HLGBM operator, which is followed by the discussion of its desirable properties. Then, some special cases of the HLGBM operator are studied in detail and the hesitant linguistic weighted geometric Bonferroni mean(HLWGBM)operator is presented. Finally, a new model for MAGDM is investigated based on the HLWGBM operator, and applies the example for the selection of database to demonstrate the model's practicality and effectiveness.关键词
犹豫模糊语言集/Archimedean范数/几何Bonferroni平均/多属性群决策Key words
hesitant fuzzy linguistic set/Archimedean norm/geometric Bonferroni mean/multi-attribute group decision making分类
信息技术与安全科学引用本文复制引用
彭守镇,林显宁,吴桂明..犹豫语言信息集成算法及其数据库选择应用[J].计算机工程与应用,2017,53(21):85-90,125,7.基金项目
广东理工学院科技项目(No.GKJ2016006). （No.GKJ2016006）
