Bidirectional Adjustable N-Soft Expert PROMETHEE-II Model: A New Framework for Multi-Attribute Group Decision-Making

In the current expert set models, experts can only express approval or disapproval attitudes about the existing evaluation grades, without adjusting the existing grades to a more reasonable state. This paper proposes a bidirectional adjustable N-soft expert set model. First, this model can describe the experts’ attitudes to the existing grades and make two-way adjustments about existing grades by the proposed expert bidirectional adjustable coefficients. In addition, some related operations and propositions are derived. Then, the PROMETHEE-II (preference ranking organization method for enrichment evaluation II) method based on the bidirectional adjustable N-soft expert set is introduced, which not only limits unconditional compensability among the attribute values but also considers the degree of priority among the objects. Further, the cut sets mentioned can set different standards under different attributes to deal with the data according to the actual situations. Finally, this paper takes hospital evaluation as an example to describe the specific application process of the model. And the effectiveness and superiority of the model are verified through comparison and analysis with other methods.