...
首页> 外文期刊>Journal of Information & Optimization Sciences >A Novel Approach To Enhance The Classification Performances Of Grey Relation Analysis
【24h】

A Novel Approach To Enhance The Classification Performances Of Grey Relation Analysis

机译:提高灰色关联分析分类性能的新方法

获取原文
获取原文并翻译 | 示例

摘要

A Grey Relational Analysis (GRA) was a multiple criteria decision support approach in order to build a ranking and suggest a best choice on a set of alternatives. In this paper, a new Geometry Menu (GM) Pattern was proposed to enhance the applications of GRA. In this new GM pattern, the △_(0i) value could be calculated indirectly from the geometry mean of all attributes and the Attribute Impulse Factors and a different formula of GRG (Γ_(0i)) were defined. This study also classifies all of the existing GRG models into different patterns basically according to the kernel function (△_(0i)).Every pattern had the special characteristics and limitations, and they might be complemented to each other in the Grey Relational Analysis (GRA). In some particular applications were used to demonstrate that the New GM pattern derive a better satisfactory and effective evaluation than others. Finally, some useful conclusions deducted from discussions.
机译:灰色关联分析(GRA)是一种多准则决策支持方法,目的是建立排名并为一组备选方案提供最佳选择。在本文中,提出了一种新的几何菜单(GM)模式以增强GRA的应用。在这种新的GM模式中,可以从所有属性的几何平均值间接计算△_(0i)值,并定义属性脉冲因子和GRG的不同公式(Γ_(0i))。本研究还将所有现有的GRG模型基本上根据核函数(△_(0i))划分为不同的模式,每种模式都有其特殊的特性和局限性,它们在灰色关联分析中可能会相互补充( GRA)。在某些特定的应用中,使用新的GM模式比其他应用可获得更好的满意和有效的评估。最后,从讨论中得出了一些有用的结论。

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