%0 Journal Article %A PENG Shouzhen %A LIN Xianning %A WU Guiming %T Hesitant linguistic information aggregation algorithm and its application to select database %D 2017 %R 10.3778/j.issn.1002-8331.1705-0129 %J Computer Engineering and Applications %P 85-90 %V 53 %N 21 %X For the Multi-Attribute Group Decision Making(MAGDM) problem under the hesitant fuzzy linguistic environment, based on Hesitant Linguistic Geometric Bonferroni Mean(HLGBM) operator, a novel MAGDM model is developed, 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. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1705-0129