摘要
模糊模式识别是当前一种流行的模式识别方法。文中对常见的模糊模式识别问题进行了总结,根据识别对象和被识别对象及其关系归类出模糊模式识别的四种基本模型,分别为:标准模式为模糊子集,待识别样本为单点向量;标准模式和待识别样本均为模糊子集;标准模式为模糊向量集合族,待识别样本为单点向量;标准模式和待识别样本均为模糊向量集合族。对每种类型分别讨论了其常用的解决方法,并给出了实例。最后,对模糊模式识别其它方法进行了简介。
The fuzzy pattern recognition is a popular pattern recognition method.In this paper,normal fuzzy pattern recognition problems was categorized as four kinds of basic model according to the relationship between pattern and recognized object.The four kinds model as following（pattern type vs.recognized object type）：fuzzy subsets vs.constant vector,fuzzy subsets vs.fuzzy subsets,vector of fuzzy sets vs.constant vector and vector of fuzzy sets vs.vector of fuzzy sets.For each one,the resolving methods or principles were analyzed and discussed by examples.Finally,other methods of fuzzy pattern recognition are introduced.
出处
《计算机技术与发展》
2010年第9期32-35,共4页
Computer Technology and Development
基金
国家自然科学基金(60272089)
广东省自然科学基金(980406
04009464)
