基础油与添加剂优选专家系统的知识表示方法研究

Study on the Knowledge Representation in the Expert System on the Selection of the Base Oil and Additives

对润滑油基础油与添加剂优选专家系统中知识的表示方法进行了探讨。以各种添加剂极其特性及有关的配比与润滑油的特性建立知识库,运用专家系统为研制油选择合适的添加剂,将传统的基于状态空间法、问题归约法、谓词逻辑法、产生式规则的知识的表示方法与基于面向对象的知识表示、基于模糊的知识表示相结合,研究出一种符合润滑油及其基础油、添加剂特点的知识表示方法。

The knowledge representation in the expert system on the selection of the base oil and additives of the lubrication oil was studied. The knowledge base is based on different types of additives and their characteristics, different types of additive＇ s formula and corresponding oil＇ s characteristics. The expert system helps to make a choice of proper additives for the researched lubrication oil. Combining the traditional knowledge representation based on state space, problem reduction, predicate logic, production rule with the OO system, fuzzy system, the knowledge representation which is accord with the characteristic of the lubrication oil and its base oil and additives was excogitated.