摘要
案例推理是ＥＳ中一种重要的推理技术，本文将案例推理技术引入智能化预测支持系统中，通过提供当前问题的相似案例，增强领域专家的类比推理及记忆能力，充分利用案例中隐含的专家常识知识，设计开发了基于案例推理的人机合作求解系统，探索了解决＂预测两难＂问题的一种新途径．
Case-based reasoning (CBR) is an important reasoning technique of expert system. In this paper, we introduce CBR to augment the analogical reasoning and memory of the domain expert by providing the expert with representative cases similar to the problem at hand. Common-sense knowledge hided in cases is used sufficiently. CBR-based human-computer cooperative solving system is developed. The new approach to the dilemma of forecasting is investigated.
基金
国家自然科学基金
关键词
案例推理
决策支持系统
预测支持系统
case-based reasoning, decision support systems, forecasting support system
