A Multicriteria Group Decision-Making Method Based on the Normal Cloud Model With Zadeh'sZ-Numbers.

Z-number is the general representation of real-life information with reliability, and it has adequate description power from the point of view of human perception. This study develops an innovative method for addressing multicriteria group decision-making (MCGDM) problems withZ-numbers under the condition that the weight information is completely unknown. ProcessingZ-numbers requires effective support of reliable tools. Then, the normal cloud model can be employed to analyze theZ-number construct. First, the potential information involved inZ-numbers is invoked, and a novel concept of normalZ+-value is proposed with the aid of the normal cloud model. The operations, distance measurement, and power aggregation operators of normalZ+-values are defined. Moreover, an MCGDM method is developed by incorporating the defined distance measurement and power aggregation operators into the MultiObjective Optimization by Ratio Analysis plus the Full Multiplicative Form. Finally, an illustrative example concerning air pollution potential evaluation is provided to demonstrate the proposed method. Its feasibility and validity are further verified by a sensitivity analysis and comparison with other existing methods. [ABSTRACT FROM AUTHOR]