A Method of Determining the Weight of Case Retrieval based on Variable Weight

Jinbing Ha, Yiwen Wang, Zining Liu
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Abstract

In order to make better research on the weighting methods of case attributes in Case-based Reasoning, we conduct a study on the weighting methods of case attributes, in which a number of 50 metro energy consumption cases is chosen to conducted to verify the three weighting methods on attributes of the case in the metro energy consumption data base. The three weighting methods are Analytic Hierarchy Process, abbreviated as AHP, Mean Square Difference, abbreviated as MSD, and Integrated Determination of Variable Weight, abbreviated as IDVW. The results of this study clarified that the new method IDVW can improve the retrieval quality of the metro energy consumption case, and retrieve the most efficient metro train route map quickly, which can realize the decline of metro energy consumption effectively.
一种基于变权的案例检索权重确定方法
为了更好地研究基于案例推理中案例属性的加权方法,我们对案例属性的加权方法进行了研究,选取了50个地铁能耗案例,对地铁能耗数据库中案例属性的三种加权方法进行了验证。三种赋权方法分别是层次分析法(AHP)、均方差法(MSD)和变权综合确定法(IDVW)。研究结果表明,新方法IDVW能够提高地铁能耗案例的检索质量,快速检索最有效的地铁列车线路图,有效实现地铁能耗的下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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