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基于直觉模糊等价相异矩阵的聚类方法
引用本文:蔡茹,雷英杰,申晓勇,雷阳. 基于直觉模糊等价相异矩阵的聚类方法[J]. 计算机应用, 2009, 29(1): 123-126
作者姓名:蔡茹  雷英杰  申晓勇  雷阳
作者单位:空军工程大学,导弹学院,陕西,三原,713800
基金项目:国家自然科学基金,陕西省自然科学基金 
摘    要:针对直觉模糊集合数据的聚类问题,提出了一种基于直觉模糊等价相异矩阵的聚类方法。该方法首先给出直觉模糊相异区间的概念,并构建了直觉模糊相异矩阵;然后定义了直觉模糊等价相异矩阵和(α,β)截矩阵,进而给出直觉模糊聚类算法;最后将其应用于目标编群领域,通过实例验证该算法的有效性。

关 键 词:直觉模糊集合  聚类  相异区间  直觉模糊等价相异矩阵
收稿时间:2008-07-21

Clustering method based on intuitionistic fuzzy equivalent dissimilarity matrix
CAI Ru,LEI Ying-jie,SHEN Xiao-yong,LEI Yang. Clustering method based on intuitionistic fuzzy equivalent dissimilarity matrix[J]. Journal of Computer Applications, 2009, 29(1): 123-126
Authors:CAI Ru  LEI Ying-jie  SHEN Xiao-yong  LEI Yang
Affiliation:Missile Institute;Air Force Engineering University;Sanyuan Shaanxi 713800;China
Abstract:Aiming at the problems of clustering for the data of Intuitionistic Fuzzy Sets, a clustering method based on the intuitionistic fuzzy equivalent dissimilarity matrix was proposed. Firstly, the concept of intuitionistic fuzzy dissimilar interval was defined in the method, and the approach of constructing the intuitionistic fuzzy dissimilarity matrix was also presented. Then, the intuitionistic fuzzy equivalent dissimilarity matrix and (α,β)cutting matrices were given. Moreover, an algorithm for intuitionistic fuzzy clustering was proposed. Finally, the clustering algorithm was applied to the field of target classification and the validity was proved by the instance.
Keywords:Intuitionistic Fuzzy Sets  Clustering  Dissimilarity Interval  Intuitionistic Fuzzy Equivalent Dissimilarity Matrix
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