基于直觉模糊熵的目标函数聚类  

Objective function clustering based on etropy intuitionistic fuzzy

作　　者：杨夏[1,2] 戴臻[1] 

机构地区：[1]湖南科技职业学院,湖南长沙410004 [2]国防科学技术大学计算机学院,湖南长沙410073

出　　处：《计算机工程与设计》2009年第9期2277-2278,2282,共3页Computer Engineering and Design

摘　　要：针对将模糊聚类扩展为直觉模糊聚类具有的重要的理论和应用价值,研究了直觉模糊熵的基础上,提出了一种基于直觉模糊的聚类目标函数的思想。利用拉格朗日定理推导了目标函数参数求解,并给出了基于直觉模糊熵的聚类算法。通过典型试验表明基于直觉模糊熵的目标函数聚类提高了聚类的准确率,性能优于模糊聚类。To the problem that making fuzzy clustering extend intuitionistic fuzzy clustering possesses significant value of theoretics and application research.Firstly,intuitionistic fuzzy etropy is researched,and a clustering object function thinking based on intuitionistic fuzzy is presented.Then,parameters of object function is evaluated by Lagrange theorem,and clustering algorithm based on intuitionistic fuzzy etropy is presented.At last,classical experiment has indicated that the performance of the algorithm is better than fuzzy clustering and the clustering right rate is improved.

关 键 词：直觉模糊聚类 直觉模糊熵 聚类目标函数 拉格朗日定理 熵 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]