摘要
分析了模糊模式识别实现的最大隶属原则法、择近原则法、模糊聚类分析法、相对隶属度法,并对这4种方法进行了比较.
A brief introduction of applications of Fuzzy Sets theory in pattern recognition is given in this paper. The basic knowledge of Fuzzy Sets theory is first presented, followed with several different methods of realization of Fuzzy Pattern Recognition, including Maximal Membership Rule method, Near Selection method, Fuzzy Clustering method, Relative Membership Rule method. Comparison is made among the four.
出处
《湖北工业大学学报》
2005年第4期17-19,共3页
Journal of Hubei University of Technology
关键词
模糊模式识别
最大隶属原则
择近原则
模糊聚类
相对隶属度
fuzzy pattern recognition
maximal-membership-rule
near-selection method
fuzzy-clustering relative-membership
