Publicado 6 números por año
ISSN Imprimir: 2152-5080
ISSN En Línea: 2152-5099
Indexed in
SOME INTERVAL NEUTROSOPHIC HESITANT UNCERTAIN LINGUISTIC BONFERRONI MEAN AGGREGATION OPERATORS FOR MULTIPLE ATTRIBUTE DECISION-MAKING
SINOPSIS
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.
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