Interval-valued dual hesitant fuzzy linguistic geometric aggregation operators in multiple attribute decision making

In this paper, we investigate the multiple attribute decision making (MADM) problem based on the arithmetic and geometric aggregation operators with interval-valued dual hesitant fuzzy linguistic information. Then, motivated by the ideal of traditional arithmetic operation, we have developed some aggregation operators for aggregating interval-valued dual hesitant fuzzy linguistic information: interval-valued dual hesitant fuzzy linguistic weighted average (IVDHFLWA) operator, interval-valued dual hesitant fuzzy linguistic ordered weighted average (IVDHFLOWA) operator and Interval-valued dual hesitant fuzzy linguistic hybrid average (IVDHFLHA) operator. Then, we have utilized these operators to develop some approaches to solve the interval-valued dual hesitant fuzzy linguistic multiple attribute decision making problems.