Divergent opinions of experts, which is common in multiple criteria decision-making problems, may lead to uncertainty of decision results. This paper improves the gained and lost dominance score for modeling group uncertainty in subjective evaluations by making use of probability distributions. To do so, we present a function to capture the dominance flow of one alternative over another whose performances are measured by complex linguistic evaluations. By this function, the vague relations between alternatives, which are common in qualitative evaluations, can be reflected. In addition, taking the evaluations of experts as random variables, we capture the uncertainty in group by normal distributions. In this way, the final score of each alternative is estimated as an interval and the overlapping intervals indicate vague dominance relations between alternatives. A illustrative example about site selection of electric vehicle charging stations is provided to illustrate the proposed method and the method is then highlighted by comparing with other ranking methods.

在多标准决策问题中常见的专家意见分歧可能会导致决策结果不确定。本文通过利用概率分布来改善在主观评估中对群体不确定性建模的优势和优势支配得分。为此，我们提出了一项功能，以捕获一个备选方案在另一备选方案上的优势流，该备选方案的性能通过复杂的语言评估来衡量。通过此功能，可以反映定性评估中常见的备选方案之间的模糊关系。此外，将专家的评估作为随机变量，我们以正态分布分组捕获了不确定性。通过这种方式，每个备选方案的最终得分估计为一个间隔，重叠的间隔表示备选方案之间的模糊主导关系。提供了关于电动车辆充电站的地点选择的说明性示例，以说明所提出的方法，然后通过与其他排名方法进行比较来突出显示该方法。