a decision support methodology based on weighted bonferroni mean operator under grey environment

The main purpose of this paper is to provide a multi-criteria decision-making that combines interval grey numbers and normalized bonferroni mean operator to address the situations where attribute values take the form of interval grey numbers under uncertain information. as in recent decade, evaluation objects are becoming more and more complicated, the interval grey numbers (igns) are employed to more accurately express uncertainty of the evaluation objects. firstly, operations and comparison method for interval grey numbers are defined. subsequently, the aggregation operator is defined on interval grey numbers viz. interval grey number normalized weighted bonferroni mean (ignwbm) operator, is presented accordingly in some desirable characteristics. finally, a numerical example is selected and comparison analysis is conducted between the proposed method and other existing mcdm method to verify the feasibility and stability concerning changes in characteristics of the developed methodology.