基于模糊聚类的信息不完全确定的多准则分类方法  

Multi-criteria classification approach with incomplete certain information based on fuzzy clustering

作　　者：王坚强[1] 

机构地区：[1]中南大学商学院,湖南长沙410083

出　　处：《系统工程与电子技术》2007年第8期1288-1291,共4页Systems Engineering and Electronics

基　　金：湖南省社会科学基金(05YB74);湖南省软科学计划项目(06FJ4126);湖南省哲学社会科学评审委员会项目(0608064A)资助课题

摘　　要：针对权系数信息不完全确定且有训练集的多准则分类决策问题,提出了一种基于模糊聚类的分类方法。该方法在考虑对训练集分类的基础上,结合不完全确定的准则权系数信息等建立模糊聚类模型,通过遗传算法求解所得优化模型,得出准则权系数和聚类中心,计算方案属于各类别的隶属度,进而得到整个方案集的分类。实例说明了该方法的有效性和可行性。For multi criteria classification problems with reference set and the incomplete certain information on the criteria＇s weights, a method based on fuzzy clustering is proposed. Using classification to the reference set and incomplete certain information on weights, a fuzzy clustering model is developed. Then using genetic algorithms to solve the fuzzy clustering model, the optimal criteria＇s weights and clustering center are gained. The membership degree of the alternatives to categories is computed. And classification is performed through the comparison of membership degree of the alternatives to categories. Finally, an example is given to explain the feasibility and availability of this method.

关 键 词：多准则分类决策 模糊聚类 信息不完全确定 遗传算法 

分 类 号：C934[经济管理—管理学]