摘要
将粗糙集理论引入羊病诊断案例推理中,建立了集成粗糙集与案例推理的羊病诊断模型。运用粗糙集理论对案例库中的案例进行属性约简,采用欧氏距离进行相似度计算,并与常见的案例推理模型进行比较,得出该模型的若干优势。本文用实例程序表明,该模型具有简捷、直观和实用的特点。
Introduing the RS theory into Sheep ＆amp; Goat Diagnosis CBR,it is built into a Sheep ＆amp; Goat Diagnosis model of integrated the RS and CBR. For the Case Base,the attributes are reduced,and the Euclidean Distance is used,compared with the common CBR model,it shows some advantages of this model. This paper indicates the model has also simple,intuitionistic and applied feature.
出处
《微计算机信息》
2009年第36期180-181,共2页
Control & Automation
关键词
羊病诊断
粗糙集
案例推理
欧氏距离
Sheep ＆amp
Goat Diagnosis
Rough Set
Case-Based Reasoning
Euclidean Distance
