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基于相对熵的直觉模糊聚类方法
引用本文:周广田,曲科军,徐为. 基于相对熵的直觉模糊聚类方法[J]. 黑龙江电子技术, 2014, 0(1): 56-58,61
作者姓名:周广田  曲科军  徐为
作者单位:黑龙江大学计算机科学技术学院,哈尔滨150080
基金项目:黑龙江省教育厅科学研究重点项目(11511400)
摘    要:在众多的模糊集中,直觉模糊集同时定义了信任度、非信任度和犹豫度,便于处理不确定信息.在不确定信息应用领域的背景下,重点研究了直觉模糊环境下的聚类问题,提出了基于相对熵的直觉聚类方法,并通过数值算例验证了方法的可行性和有效性.

关 键 词:模糊聚类  直觉模糊集  相对熵

Intuitionistic fuzzy clustering method based on information relative entropy
ZHOU Guang-tianSchool of Computer and Technology,Heilongjiang University,Harbin,China QU Ke-junSchool of Computer and Technology,Heilongjiang University,Harbin,China XU Wei. Intuitionistic fuzzy clustering method based on information relative entropy[J]. , 2014, 0(1): 56-58,61
Authors:ZHOU Guang-tianSchool of Computer  Technology  Heilongjiang University  Harbin  China QU Ke-junSchool of Computer  Technology  Heilongjiang University  Harbin  China XU Wei
Affiliation:ZHOU Guang-tian(School of Computer and Technology, Heilongjiang University, Harbin 150080, China) QU Ke-jun(School of Computer and Technology, Heilongjiang University, Harbin 150080, China) XU Wei(School of Computer and Technology, Heilongjiang University, Harbin 150080, China)
Abstract:Among a series of fuzzy sets,intuitionistic fuzzy set (IFS) takes into account membership degree,non-membership degree and hesitant degree,which are helpful to deal with uncertain information.This paper has an emphasis on the clustering problem under intuitionistic fuzzy environment and proposes a clustering method based on information relative entropy on the background of applied fields with uncertain information.
Keywords:fuzzy clustering  intuitionistic fuzzy set  information relative entropy
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