基于拟合的二维正态云模型  

2-D normal cloud model based on fitting

作　　者：赵志强[1] 缑锦[1] 

机构地区：[1]华侨大学信息科学与工程学院,福建泉州362021

出　　处：《计算机工程与设计》2009年第20期4722-4726,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(60573056);福建省自然科学基金项目(A0710013)

摘　　要：分析了现有的正向/逆向云生成器实现算法的不足之处,并在此基础上提出了基于拟合思想的正向/逆向云生成算法。通过将概念空间划分为几个子空间,然后再在各子空间上使用正向/逆向正态隶属云生成算法来拟合整个概念空间上问题的描述。在拟合过程中,子空间的划分数目是影响拟合效果的主要因素。通过一系列实验分析就子空间的划分数目给出了一个建议数目。最后,实例分析和比较结果表明了该算法的可行性和效率。A new algorithm of forward and backward cloud based on fitting is proposed. Firstly, whole concept space is divided into several sub-spaces, and backward or foreword cloud generator algorithms on each sub-space is used to fit the representation of concept. During the procedure of fitting, the number of sub-space is the major factor to fitting results, After a series of experiments, an advisable number of sub-spaces are given. After a comparison is made between these two kinds of algorithms, the conclusion that cloud model based on fitting is better for describing uncertainty than the older one could be drawn.

关 键 词：不确定性 隶属云 二维正态云 拟合云 转换模型 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]