模糊系统知识模型上的单点关系与复合关系

The Unitary and Multiplex Relations on the Knowledge Model of Fuzzy System

为了在获取的测量数据不完整时能够合理、有效地提取模糊规则,能够对所建立的模糊系统模型方便地进行不一致信息处理以及能够更加客观地刻画系统特性,提出了模糊系统的知识模型描述方法.同时给出了模糊系统知识模型的定义,建立了此模糊系统知识模型上的单点关系和复合关系,并证明了这两个关系均为等价关系.为给出模型中范畴和知识这两个重要且基本的概念建立基础,继而为一类模糊控制系统的描述提供了一种形式化表达框架.

A descriptive method for the knowledge model of fuzzy systems was proposed. With this model, fuzzy rules can be extracted properly and effectively from incomplete data gained from test. It can also be used to deal with inconsistent information from the established fuzzy system model and to depict the system characteristics objectively. A knowledge model on fuzzy systems is defined, the unitary and multiplex relations on the knowledge model are constructed, and these two relations are proved to be equivalent. In order do set a basis of categories and knowledge which are two very important and fundamental concepts in the model, formalized expression cassettes is provided for the description of the fuzzy control system.