A Novel Dependent Aggregation Approach for Intuitionistic Uncertain Linguistic Multiple Attribute Group Decision Making

The multiple attribute group decision making problem in which the input arguments take the form of intuitionistic uncertain linguistic information is studied in the paper.Based on the operational principles of intuitionistic uncertain linguistic variables and the concept of the expected value and accuracy function, some new dependent aggregation operators with intuitionistic uncertain linguistic information including the dependent intuitionistic uncertain linguistic ordered weighted average(DIULOWA) operator, the dependent intuitionistic uncertain linguistic ordered weighted geometric(DIULOWG) operator, the generalized dependent intuitionistic uncertain linguistic ordered weighted aggregation(GDIULOWA) operator and so on are developed, in which the associated weights only depend on the aggregated arguments.Also, we study some desirable properties of the aggregation operators.Moreover, the approach of multiple attribute group decision making with intuitionistic uncertain linguistic information based on the developed operators is proposed.Finally, an illustrative numerical example is given to show the practicality and effectiveness of the proposed approaches.