An ideal point based approach to multi-criteria decision making with uncertain linguistic information

We study the multi-criteria decision making problems in which the information about preference values is expressed in the form of uncertain linguistic information. We introduce some operational laws of uncertain linguistic variables and the concept of the ideal point of preference values with uncertain linguistic information, and develop an uncertain linguistic weighted averaging (ULWA) operator. An ideal -point-based approach to multi-criteria decision making with uncertain linguistic information is proposed. Finally, an illustrative numerical example is also given to verify the developed approach and to demonstrate its feasibility and practicality.