文章基本信息

标题：Enhancing Spatial FCM using Intuitionistic Fuzzy Sets
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作者：Prabhjot Kaur
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2016
卷号：5
期号：1
页码：55-59
出版社：IJCSN publisher
摘要：A conventional fuzzy c- means (FCM) clustering algorithm did not use the spatial information of the data and is very much sensitive to noise. To improve the noise sensitivity of FCM, Spatial FCM (SFCM) incorporates the spatial information to improve the results. Intuitionistic fuzzy sets introduce hesitation factor in the fuzzy sets to enhance the performance of fuzzy sets and also added entropy to maximize the good points in data. This paper proposed a variant of SFCM by using intuitionistic fuzzy sets. The algorithm is tested on the CT scan images and after comparison it is observed that SIFCM outperformed SFCM and IFCM in case of images.
关键词：Intuitionistic Fuzzy Set;Hesitation Degree;Fuzzy Clustering;Intuitionistic Fuzzy Generator;Spatial Information;Image Segmentation;FCM