KMKAS:一个新型知识获取系统

KMKAS:A New Knowtedge Acquisition System Based on Knowledge Matrix

本文提出的知识获取方法是在基础上,利用PCP心理学理论和较新的知识表达方式-知识矩阵的概念,结合实例阐述了一种模糊关系合成算法公式-三角点积以及模糊关系图绘制RGDII算法.这些概念和算法均成功地应用于KMKAS知识获取系统,用来吸取和精炼领域专家的有关知识.利用该系统已经生成了计算机算法语言咨询、机床刀具选择等子系统.它为知识获取提供了新的途径.

A new method of knowledge acquisition based on [2] and a new type of knowledge representation-knowledge matrix are advanced in this paper, which are based on personal construct psychology(PCP). We give out a new triangle product formula of composite fuzzy implication relation from the reality example and a RGD1I algorithm of relation graph description in order to elicit and refine relevant knowledge of domain expert. The algorithm and formula have been successfully applied to KMKAS knowledge acquisition system. As a result, we have implemented an advanced language select system and machine tool property select system. The KMKAS system provides a new way of knowledge acquisition.