摘要
在对模糊系统知识模型概念、知识模型上的单点关系和复合关系、以及知识与范畴的近似及度量的研究基础上,对模糊系统知识模型的一致性和完备化进行了讨论.通过将粗集理论中的相关性理论及其度量方法引入到知识模型中,独立地提出了知识模型的扩充、极大一致性分解的概念与方法,并结合粗集理论中的约简理论,形成了知识模型完备化处理的理论与方法.知识模型的一致性与完备化理论与方法可以应用于基于离散样本数据的模糊系统辨识中.
The consistency and completion of knowledge model of fuzzy system are discussed based on the studies of fuzzy system knowledge mode concept,single-point relation and complex relation,and approximation and measurement of the knowledge and category.By introducing the relativity theory and the measurement method from fuzzy theory,the concept and method of expansion and decomposition with maximum consistency of the knowledge model are proposed,the completion theory and approach of the knowledge model are formed in conjugation with the reduction theory from rough set theory.The theory and approach of the consistency and completion of the knowledge model can be applied in the fuzzy system identification based on discrete sample data.
出处
《大连交通大学学报》
CAS
2010年第4期41-44,共4页
Journal of Dalian Jiaotong University
基金
国家自然科学基金资助项目(60870009)
关键词
模糊系统
知识模型
一致性
完备化
fuzzy system
knowledge model
consistency
completion
