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基于直觉模糊解析面积的聚类算法
引用本文:程魏魏,姚伟烈,彭艳兵.基于直觉模糊解析面积的聚类算法[J].计算机系统应用,2018,27(4):215-218.
作者姓名:程魏魏  姚伟烈  彭艳兵
作者单位:武汉邮电科学研究院, 武汉 430070;南京烽火软件科技有限公司, 南京 210019,南京烽火软件科技有限公司, 南京 210019,南京烽火软件科技有限公司, 南京 210019
摘    要:针对现有的直觉模糊集聚类算法对权重的忽视或误用,提出一种基于直觉模糊解析面积的聚类算法.同时给出了直觉模糊集的解析面积和属性权重的计算方法,然后构造了聚类算法的目标函数,并给出聚类算法的详细步骤.算例验证了所提出的算法的合理性与可行性.

关 键 词:直觉模糊集  解析面积  属性权重  直觉模糊聚类
收稿时间:2017/7/5 0:00:00
修稿时间:2017/7/20 0:00:00

Cluster Method Based on Intuitionistic Fuzzy Analytic Area
CHENG Wei-Wei,YAO Wei-Lie and PENG Yan-Bing.Cluster Method Based on Intuitionistic Fuzzy Analytic Area[J].Computer Systems& Applications,2018,27(4):215-218.
Authors:CHENG Wei-Wei  YAO Wei-Lie and PENG Yan-Bing
Affiliation:Wuhan Research Institute of Posts and Telecommunications, Wuhan 430070, China;Nanjing Fiberhome Software Science and Technology Co. Ltd., Nanjing 210019, China,Nanjing Fiberhome Software Science and Technology Co. Ltd., Nanjing 210019, China and Nanjing Fiberhome Software Science and Technology Co. Ltd., Nanjing 210019, China
Abstract:Because of the neglect or misuse of the attribute weight of the existing intuitionistic fuzzy clustering algorithm, an intuitionistic fuzzy clustering algorithm based on the intuitionistic fuzzy analytic area is proposed, which introduces the analytic area of intuitionistic fuzzy sets and a method for calculating the attribute weights, then constructs the objective function of clustering and gives the clustering procedure. Finally, an example shows the validity and feasibility of this algorithm.
Keywords:intuitionistic fuzzy sets  analytic area  attribute weights  intuitionistic fuzzy clustering
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