摘要
本文针对生产作业计划调整问题的多目标和模糊性特点,综合应用层次分析法和专家系统的方法以确定调整参数、方向和程度,提出了框架结构的知识表示方法,以及综合粗糙集的定性分析能力和BP神经网络的精确逼近功能进行知识采掘的算法.最后论述了本系统的主要功能和基本结构.
In this paper, facing the multi-objects and fuzzy features of production scheduling adjustment, we integrate AHP and Expert System to detemine the parameters,direction and degree. We describe the frame represention for knowledge,and the kowledge discover algorithm which integrates the qualitative analysis power of Rough Sets and the precise approximation capacity of BP neural network. In the end, we describe the main functions and basic structure of this system.
出处
《系统工程》
CSCD
1999年第6期41-48,共8页
Systems Engineering
关键词
生产作业计划
粗糙集
专家系统
调整
MP问题
Production Scheduling, Rough Sets,BP neural network, Expert System Adjustment
