专家系统中的不精确推理模型及算法

UNCERTAIN REASONINC MODEL AND ALGORITHMS IN THE EXPERT SYSTEM

近年来,不精确推理在人工智能应用领域中的地位不断提高,已提出了许多不精确推理的算法用来处理专家系统中的不确定性问题。本文主要重点阐述专家系统中几种常用的不精确推理的可信度因子模型、概率模型、模糊推理模型、D-S模型及其算法。并结合地质领域中的某些问题阐明这些模型算法的特点和应用价值,无疑将有助于建造地学中的专家系统。

In recent years, the uncertain reasoning has given a more and more important position in the field of artificial intelligence. A lot of algorithms of uncertain reasoning have been presented to process the indeterminacy problem in expert system. The certainty factor model, probability model, fuzzy reasoning model and algorithms that are applicable in expert system are discused and the application value of these models and algorithms in geological field is mentioned in this paper. They are useful for building the expert system in geological field.