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计算机系统应用英文版:2018,27(4):215-218
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基于直觉模糊解析面积的聚类算法
(1.武汉邮电科学研究院, 武汉 430070;2.南京烽火软件科技有限公司, 南京 210019)
Cluster Method Based on Intuitionistic Fuzzy Analytic Area
(1.Wuhan Research Institute of Posts and Telecommunications, Wuhan 430070, China;2.Nanjing Fiberhome Software Science and Technology Co. Ltd., Nanjing 210019, China)
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Received:July 05, 2017    Revised:July 20, 2017
中文摘要: 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.
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.
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程魏魏,姚伟烈,彭艳兵.基于直觉模糊解析面积的聚类算法.计算机系统应用,2018,27(4):215-218
CHENG Wei-Wei,YAO Wei-Lie,PENG Yan-Bing.Cluster Method Based on Intuitionistic Fuzzy Analytic Area.COMPUTER SYSTEMS APPLICATIONS,2018,27(4):215-218