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提出了一个基于案例比较信息的多准则群决策分类方法.该方法使用级别高于关系作为决策者的偏好模型.它要求决策者根据自己的偏好预先给出部分方案之间的比较信息.基于这些比较信息和决策者的重要度确定了具有最大可信度的群体一致案例比较信息集,并利用该信息集构建一个混合整数规划模型来计算方案的分类区间,从而引导决策者给出部分方案的精确分类信息.在此基础上,确定一个代表函数来获得其余方案的精确分类.最后通过一个实例说明了方法的可行性和合理性.
A multi-criteria group decision-making classification method based on case comparison information is proposed.The method uses the level above the relationship as the decision-maker’s preference model.It requires the decision-makers to give some comparative information between the partial schemes according to their own preferences.Based on these Comparison of information and the importance of decision-makers to determine the most credible group of consistent case comparison information sets and use of the information set to build a mixed integer programming model to calculate the classification interval of programs to guide decision makers to give part of the program Accurate classification of information.On this basis, determine a representative function to get the accurate classification of the remaining programs.At last, an example shows the feasibility and rationality of the method.