基于均匀分布的高斯云模型  

Gauss Cloud Model Based on Uniform Distribution

作　　者：陈昊[1] 李兵[2] 

机构地区：[1]湖北大学计算机与信息工程学院,武汉430062 [2]武汉大学国际软件学院,武汉430072

出　　处：《计算机科学》2016年第9期238-241,246,共5页Computer Science

基　　金：国家自然科学基金(61273216);湖北省教育厅科学技术研究重点项目(D20141005)资助

摘　　要：云模型实现了定性概念与其定量表示之间的不确定转换。高斯分布与高斯隶属度函数的普适性奠定了高斯云模型的普适性,目前云模型的理论与应用研究主要集中在高斯云模型。将均匀分布引入到云模型中,扩展了高斯云模型,分别得到了均匀分布云模型和均匀高斯云模型,两类扩展的云模型为不确定性的形式化描述提供了新的途径。最后利用多维均匀高斯云模型模拟分形树生长过程,实验结果表明云模型能有效模拟自然界中不确定的分形现象。The cloud model has established the uncertain transformation between qualitative concepts and their quantita- tive description. The universality of Gauss distribution and Gauss membership function prepares the ground for the uni- versality of Gauss cloud model,and up to now the theory of cloud model and its applied researches have mainly focused on Gauss cloud model. In this article the uniform distribution was introduced into cloud model and Gauss cloud model was extended, thus resulting in two models： uniformly distributed cloud model and uniform Gauss cloud model which of- fer a new way for uncertainty description. Finally, the multi-dimensional uniform Gauss cloud model was used to simu- late the growth process of fractal tree. The result indicates that the cloud model can be used to effectively simulate the fractal phenomena in nature.

关 键 词：云模型 高斯云 均匀分布 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]