面向复杂产品的多层智能推理框架

摘要

案例推理是基于知识的问题求解方法.克服复杂产品进行单层案例推理所面临的粗粒度问题,考虑到复杂产品案例表达多层次的特点,根据领域知识和部件功能相似性,基于XML描述的部件层次互换约束规则,实现深层次的案例细节调整和修改,从而建立了多层智能推理方法框架,为多层次复杂产品案例推理问题提供可行的解决方案.并以某类复杂产品采办全生命周期中的概念设计为例说明多层智能推理框架问题求解的有效性和面向用户服务的支持效率.%Case-based reasoning is a knowledge-based problem solving method. To overcome the coarse-grained problem in the single-level case-based reasoning of complex equipment systems; Based on the characteristics of the multi-level of complex equipment systems, the domain knowledge and the similarity of the components' functions were considered, and the framework of multi-level intelligent case-based reasoning was proposed. In the framework , XML was used for describing the language of component replacement rules in order to realize the adjustment and modification of deep-level details of the case. The improvement and application of the framework are feasible solutions for case-based reasoning of a multi-level complex product system. Finally, an illustrative example for conceptual design of complex equipment systems was given to clarify the feasibility and effectiveness of the multi -level intelligent CBR framework.