UDWGA Operator and its Application to Dynamic Multiple Attribute Decision Making

With respect to dynamic multiple attribute decision making (DMADM) problems with uncertain preference relations. Definition and some operational laws of uncertain variables are introduced, and two new operators called dynamic uncertain weighted geometric averaging (DUWGA) operator and dynamic uncertain geometric averaging (DUGA) operator are presented. A model based on DUWGA and UWGA operators is developed to solve the dynamic multiple attribute decision making problems which the attribute values takes the form of uncertain information collected at the different periods. Then the DUWGA and UWGA operators are utilized to aggregate the overall uncertain information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s). Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.