RT Journal Article ID 0dd6949a2a80d428 A1 Liu, Peide A1 Teng, Fei T1 SOME INTERVAL NEUTROSOPHIC HESITANT UNCERTAIN LINGUISTIC BONFERRONI MEAN AGGREGATION OPERATORS FOR MULTIPLE ATTRIBUTE DECISION-MAKING JF International Journal for Uncertainty Quantification JO IJUQ YR 2017 FD 2017-11-17 VO 7 IS 6 SP 525 OP 572 K1 multiple attribute decision-making K1 interval neutrosophic hesitant uncertain linguistic set K1 Bonferroni mean K1 interval neutrosophic hesitant uncertain linguistic Bonferroni mean aggregation operators AB Interval neutrosophic hesitant uncertain linguistic set (INHULS) has the advantages of both interval neutrosophic hesitant numbers and uncertain linguistic variables. In this paper, we firstly introduce the definition, the operational laws, and the score function of INHULS. Then, we combine the interval neutrosophic hesitant uncertain linguistic set with the Bonferroni mean operator and propose some new aggregation operators, such as the interval neutrosophic hesitant uncertain linguistic Bonferroni mean (INHULBM) operator, the interval neutrosophic hesitant uncertain linguistic weighted Bonferroni mean (INHULWBM) operator, the interval neutrosophic hesitant uncertain linguistic geometric Bonferroni mean (INHULGBM) operator, and the interval neutrosophic hesitant uncertain linguistic weighted geometric Bonferroni mean (INHULWGBM) operator. At the same time, the related properties of these operators are discussed. Furthermore, we propose two multiple attribute decision-making methods based on the INHULWBM operator and the INHULWGBM operator. Finally, we give an illustrative example to demonstrate the practicality and effectiveness of the proposed methods. PB Begell House LK https://www.dl.begellhouse.com/journals/52034eb04b657aea,25688f033da19d10,0dd6949a2a80d428.html