Dynamic uncertain linguistic weighted harmonic mean operators applied to decision making

The dynamic multiple attribute decision making problems with uncertain linguistic information are investigated. A new aggregation operator called uncertain dynamic linguistic weighted harmonic mean (UDLWHM) operator is presented. Based on the UDLWHM and uncertain linguistic weighed harmonic mean (ULWHM) operators, we develop a procedure to solve the we develop an approach to the dynamic linguistic multiple attribute decision making problems under interval uncertainty where all decision information about attribute values takes the form of uncertain linguistic variables collected at different periods. Finally, an illustrative numerical example is given.

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