一种改进的模糊统计方法  

An Improved Fuzzy Statistical Algorithm

作　　者：张明[1] 陈楠[1] 吴陈[1] 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003

出　　处：《华东船舶工业学院学报》2004年第4期58-61,共4页Journal of East China Shipbuilding Institute(Natural Science Edition)

摘　　要：模糊理论可以广泛地应用在控制工程中,如何准确的确定隶属函数,是模糊控制的关键技术之一。文章首先介绍确定隶属函数的方法———传统的模糊统计算法,通过确定"年轻人"的隶属函数为例对算法加以说明,并分析了它的缺点;随后提出了一种改进的模糊统计的方法,同样以"年轻人"的隶属函数为例对算法作了说明。最后,通过比较和分析两种算法的实验结果来说明改进的模糊统计算法的优越性。Fuzzy theory can be widely used in control engineering. It is one of critical technologies of fuzzy control that how to determine membership function. Firstly, this paper introduces the traditional fuzzy statistical algorithm, by taking the membership function of 'the youth' as an example to analyze its drawbacks. Secondly, it proposes an improved algorithm by taking the same membership function. At last, by comparing the results of this example,the advantages of the improved algorithm are illustrated.

关 键 词：模糊集 模糊统计 隶属函数 

分 类 号：O159[理学—数学]