CIS-A General Purpose Inference System for Building Expert System

전문가 시스템 구성을 위한 범용 추론 시스템-CIS

In this paper, we study a (condition interprete systdem CCIS) which is a general purpose inference system for building an expert system. Previously, most expert systems used fragmentary knowledge-representation and inexact inferencing methods. To solve the proboems of those systems we suggest an algorithm for more flexible deduction and a method of representing knowledge more naturally and consistently compared to those of other experst systems. The CIS is a systsdem which can infer all the current situations from communication with the user based on user discription of some situation. we used some medical data on hypertension and its complication to simulate the system and to prove the effectiveness of the system. The results show that with the proposed method one can realize an attractive expert system.