Multi-layer Case-based Reasoning Approach of Complex Product System

Sihai Guo, W. Zhou, Kaizhi Li
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引用次数: 2

Abstract

Innovation of Complex product systems (CoPS) represents the trend of future technology development. CoPS are high cost, high technology, engineering intensive, multi-layer structure systems. As the most urgent problem in CoPS development is how to improve intelligence and knowledge systematically. Case-based reasoning (CBR) is a knowledge-based problem solving method. Aimed at the coarse-grained problem existed in single-layer case-based reasoning of the CoPS. Based on the characteristics of the multi-layer of CoPS, the domain knowledge and the similarity of components function are considered, the approach framework of multi-layer intelligent case-based reasoning is proposed. In the framework, the XML is used for description language of components replacement rules in order to realize the adjustment and modification of deep-layer details of the case. The improvement and application of the framework are feasible solutions for case-based reasoning of multi-layer CoPS. Finally, an illustrative example for conceptual design of complex product systems is given to clarify the feasibility and effectiveness of the multi-layer intelligent CBR approach framework.
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复杂产品系统的多层案例推理方法
复杂产品系统的创新代表了未来技术发展的趋势。cop是一种高成本、高技术、工程密集的多层结构体系。如何系统地提高警务人员的智力和知识水平是警务工作发展中最紧迫的问题。案例推理(Case-based reasoning, CBR)是一种基于知识的问题解决方法。针对cop的单层案例推理中存在的粗粒度问题。基于多层智能案例推理的特点,考虑领域知识和组件功能的相似性,提出了多层智能案例推理的方法框架。在框架中,采用XML作为组件替换规则的描述语言,实现对案例深层次细节的调整和修改。该框架的改进和应用是多层cop基于案例推理的可行解决方案。最后,以复杂产品系统的概念设计为例,说明了多层智能CBR方法框架的可行性和有效性。
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