Grey target group decision model based on expected intervals of experts

In group decision-making, the behavior expectation of the relevant experts has a significant impact on the selection result of the group decision-making. To address this challenge, a grey target group decision-making model based on expert’s expectations was proposed. The article considers the expert's expectations based on the distance between the expert's expected interval of each index and the average (bull’s-eye), and the expert weights are derived from their expected interval. The value matrix is then normalized for the degree of interval coincidence between the expert’s evaluations and his/her expected interval for the index. Finally, the paper proves the validity and feasibility of the proposed method through a case comparison analysis.