【24h】

Case Retrieving Based on Grey Incidence Degree in CBR

机译:基于灰色关联度的CBR案例检索

获取原文

摘要

Based on the characteristic of grey system theory, which is an effective method to solve uncertain problems, used grey incidence analytic method into case retrieving of CBR. Took grey incidence degree as a tool for measuring the similarity degree of case. Grey predominance analysis was applied for choosing the most suitable case. If there was no strict suitable case, AHP (Analytic Hierarchy Process) method was used to calculate weight of different indices, then got synthetical grey incidence degree, ascertain synthetical most similar case. A CBR framework based on grey incidence degree was built based on grey incidence analytic method. Finally, an example was presented. The results show that the method is simple and practical; the model provides an effective method to case retrieving.
机译:基于解决不确定性问题的有效方法-灰色系统理论的特点,将灰色关联度分析法应用于CBR案例检索中。将灰色关联度作为衡量案例相似度的工具。应用灰色优势分析法选择最合适的案例。如果没有严格合适的情况,则采用层次分析法(AHP)计算不同指标的权重,得到综合灰色关联度,确定综合最相似的情况。基于灰色关联度分析方法,建立了基于灰色关联度的CBR框架。最后,给出一个例子。结果表明,该方法简单实用。该模型提供了一种有效的案例检索方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号