中文摘要：

针对目标案例与历史案例的非一致属性集合问题,基于匹配度生成子案例库,使用基于核密度的群体序关系分析法对目标案例各属性进行赋权.利用符号型属性和数值型属性的特征,通过不同相似度计算方法分别计算各属性下的相似度,集结各属性相似度信息和权重信息得到非一致属性集合的历史案例与目标案例的相似度,最终得到应急方案的推荐结果.最后通过算例表明了该方法的有效性和可行性.

英文摘要：

A method based on the attribute set of target case is proposed to retrieve historical cases from the case warehouse, so as to get the qualified historical case to form a sub-case warehouse. Then, a G1 and Kernel Density based group decision method is used to allocate the weights of the target case＇s attributes. Considering the features of numerical attributes and symbolic attributes, the corresponding similarity functions are used to calculate the similarities of cases under different attributes. Thus the similarities between historical cases and target case can be obtained. Finally, the historical response action to the emergency decision target case can be recommended according to the rank of their similarities. A numerical example is given to illustrate the effectiveness and the feasibility of the proposed method.