基于案例推理的决策问题求解研究

Decision problem solution based on case based reasoning

案例推理是人工智能的一种新求解方法。本文针对目前案例推理的不足 ,用新的观点审视了案例推理过程的一些重要步骤 ,包括复杂决策环境下案例的表示、案例的检索、案例的调整以及案例推理与其他推理方法的复合等问题 ,提出了不完全信息下的一种案例推理综合算法 ,为案例推理的实用化提供了理论依据。此外 ,在决策问题求解模型的基础上 ,讨论了在复杂决策背景下的基于案例的决策问题求解策略 ,给出了系统的框架 ,并将之用于医疗诊断。

Case based reasoning is a new way in AI. In view of the disadvantages existing in the present cased based,this paper elaborates them with new viewpoints, including case representation under complex circumstances,case retrieval,case adjustment and the integration between case based reasoning and other reasoning engine such as rule based reasoning and evidence based reasoning. An algorithm of case based complex reasoning under incomplete information is also put forward. The above study stimulates the application of case based reasoning and provides it with theoretical support. Furthermore,based on the analysis of decision problem solution model, this paper discusses the solution strategy under complicated decision background using case based reasoning and gives the framework of the system.