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基于事例推理系统中事例相似度评估方法若干问题的探讨
引用本文:许志端,杨兰蓉,张金隆.基于事例推理系统中事例相似度评估方法若干问题的探讨[J].厦门大学学报(自然科学版),2000,39(4):441-445.
作者姓名:许志端  杨兰蓉  张金隆
作者单位:华中理工大学管理学院,湖北,武汉,430074
基金项目:国家自然科学基金!(79770036)
摘    要:对基于事例外推理系统中事例相似度评估方法存在若干问题进行探讨,采用对事例匹配过程及几种匹配函数进行研究和分析的方法,认为当前常用的匹配函数在支持不良结构决策领域的CBR系统中并不十分有效,因此必须寻求一种有效的事例相似度评估方法来改善此类CBR系统的事例检索性能。

关 键 词:基于事例推理  事例相似度  评估方法  人工智能

Discussion on Some Problems about Assessing Case Similarity in Case-Based Reasoning Systems
XU Zhi-duan,YANG Lan-rong,ZHANG Jin-long.Discussion on Some Problems about Assessing Case Similarity in Case-Based Reasoning Systems[J].Journal of Xiamen University(Natural Science),2000,39(4):441-445.
Authors:XU Zhi-duan  YANG Lan-rong  ZHANG Jin-long
Abstract:The purpose of this paper is to discuss on some problems about assessing case similarity in case--based reasoning systems. Through researching and analyzing of case matching process and several matching functions, the authors find that these widely used matching functions don't work effectively in those CBR systems that support ill-structured decision problems. Therefore, it is necessary to look for an effective method in order to improve case retrieval performance in such CBR systems.
Keywords:case-based reasoning(CBR)  similarity assessment  matching functions
本文献已被 CNKI 维普 万方数据 等数据库收录!
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