改进的模糊粗糙集模型  

Improved fuzzy rough set model

作　　者：陶志[1] 潘丽平[1] 何丹峰 

机构地区：[1]中国民航大学理学院,天津300300

出　　处：《中国民航大学学报》2017年第5期60-64,共5页Journal of Civil Aviation University of China

基　　金：国家自然科学基金项目(60672178);中国民航大学科研基金项目(2010kys01)

摘　　要：模糊粗糙集模型是对经典粗糙集模型的扩充,然而却有其不足之处。本研究提出的改进的模糊粗糙集模型,是建立在一般模糊粗糙集模型基础之上,将一个论域扩充成两个论域,同时重新定义了模糊粗糙集合的隶属函数,从而有效提高了新模型的粗糙近似精度和应用范围。理论分析和实例计算均证明了新模型的有效性和实用性。Fuzzy rough set model is a generalization of classical rough set model. However, it has its own defects and shortcomings. An improved fuzzy rough set model is established on the fuzzy rough set model. One domain is expanded into two domains, and the membership function of fuzzy rough set is redefined. Therefore, the new model＇ s rough approximation accuracy and application range are effectively improved. This new model is proved to be effective and practical by theory and case analysis.

关 键 词：粗糙集 模糊集 模糊关系 模糊粗糙集模型 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]