基于决策者信任水平和组合赋权的不完全偏好复杂大群体应急决策方法

针对属性权重完全未知且专家偏好出现残缺值的复杂大群体应急决策问题,提出了一种新的决策方法。首先,设计了一套基于决策者信任水平的残缺值填充机制,对缺失的偏好信息进行补充。然后,将各方案的大群体偏好信息进行聚类,基于方案信息熵和群体偏好冲突水平构建组合赋权方法,对属性权重进行测算,进而得到各个方案的综合评价值。最后对该方法进行了实例验证,验证结果表明本文提出的方法具有良好的可行性和有效性。

Incomplete Preference Complex Large Group Emergency Decision Making Method Based on Trust Degree of Decision Makers & Combination Weighting

For a complex large group decision-making problem: attribute weights are known completely and expert preference information is incomplete, a new decision approach is proposed. Firstly, a filling mechanism of incomplete values based on trust degree of decision makers is designed, which is used to add the missing preference information. Secondly, the large group preference information for each alternative is clustered, a combination weighting method based on information entropy of alternative and group preference conflict degree is constructed, which is used to calculate attribute weights, and then the comprehensive evaluation value for each alternative is presented. Finally, an example is given to illustrate this method, and the validation results demonstrate the good feasibility and validity of proposed method.