摘要
文章介绍了一个用于作业调度的IDSS的新型的机智能决策支持系统结构。该系统实现了Bonczek的基于知识的决策支持系统结构.并把黑板机构引进IDSS。该IDSS使用多类知识表示方法.并为模型与对话的操纵知识及决策数据提供了统一的管理模式,研究者应用机器学习技术建立了一个评价函数.用来获取和精化模型操纵知识。这个IDSS能动态地构造模型并智能地求解问题.从而具备了结构紧凑,控制灵活,适应性强等突出优点。
The paper presents a new architecture of IDSS (Intelligent Desision SupportSystem )which is used in an operation dispatching. The IDSS accomplishes Bonczeki Sarchitecture Knowledge -based DSS,and introduces blackboard mechanism into IDSS.The system uses many kinds of methods for kmowledge representation and provides anunited management for manipulation of models and dialog with users as well as date fordecision. Appling machine learning technigue,researchcr creates an evaluation functionin order to the acguisition of the models manipulation knowledge and refine it. The IDSScan structure the models dynamically and solve the problem intelligently. Its distinct advantages are achieved such as compact structrne, fleaible control, excellent adaptabilityand so on.
出处
《广东机械学院学报》
1994年第1期93-102,共10页
Industrial Engineering Journal
关键词
IDSS
知识库系统
黑板机构
决策支持系统
IDSS
problem solved
blackboord mechanism
machine learning
searchtechnology
model manipulation
art if ctal intelligence
knowledge -base system