摘要
目的形式概念分析(Formal Concept Analysis,简称FCA)在基于事例推理(Case-basedReasoning,简称CBR)中的应用为完善领域知识的分类提供了一种有效的方法;FCA提供了一种事例的组织方式,使对事例库的直接访问变得容易。方法把原来的事例表示与组织方式转换成FCA所要求的形式。结果FCA可以提取嵌入在事例库中的隐含知识,这些以描述事例属性间的依赖规则形式的隐含知识可以用来帮助完成CBR的查询过程。结论FCA在CBR中的应用提高了事例检索的速度和结果的准确性。
Aim To use Formal Concept Analysis （FCA） as an effective method to enrich the domain taxonomy,providing an ahernative organization of the case library that facilitates a direct and guided access to the cases. Methods To transform the original case representation and organization into the requirement of the FCA. Results The dependency knowledge implicitly contained in the case base is captured during the FCA process in the form of dependence rules among the attributes describing the cases,that will guide the Case based Reasoning（CBR） query formulation process. Conclusion The use of FCA in the CBR can improve the retrieval speed and results＇ accuracy.
出处
《宝鸡文理学院学报（自然科学版）》
CAS
2006年第4期311-314,共4页
Journal of Baoji University of Arts and Sciences(Natural Science Edition)
关键词
形式概念分析
基于事例推理
依赖
检索
formal concept analysis
case-based reasoning
dependency
retrieval
