首页> 外文期刊>Mathematical Problems in Engineering >A Method to Identify the Incomplete Framework of Discernment in Evidence Theory
【24h】

A Method to Identify the Incomplete Framework of Discernment in Evidence Theory

机译:证据理论中识别不完整框架的一种方法

获取原文
获取原文并翻译 | 示例

摘要

Dempster-Shafer evidence theory is a very useful tool in dealing with the decision-making of uncertain information. However, the classical evidence theory is no longer applicable when the frame of discernment (FOD) is incomplete. Moreover, incomplete FOD is an important reason for the emergence of conflict. So it is necessary to identify whether the FOD of the systemis complete or not. In this paper, a method is proposed to identify the incomplete FOD under framework of the generalized evidence theory dealing with incomplete information. Within the proposed method, pieces of evidence are generated from the attributes of each sample firstly; then three criteria are used to identify weather the FOD is incomplete according to these evidence. The main parameters of the criteria are the amount of empty set being a focal element in generated evidence, the mass of 0 in the weighted average evidence from generated evidence, and the mass of empty set in the combination of generated evidence. Some experiments are used to demonstrate the effectiveness of the proposed method.
机译:Dempster-Shafer证据理论是处理不确定信息决策的非常有用的工具。但是,当识别框架(FOD)不完整时,经典证据理论将不再适用。此外,不完全的外国直接投资是发生冲突的重要原因。因此有必要确定系统的FOD是否完整。本文提出了一种在广义证据理论的框架下,对不完全信息进行识别的方法。在提出的方法中,首先根据每个样本的属性生成证据。然后根据这些证据,使用三个标准来识别FOD不完整的天气。准则的主要参数是:空集的数量是生成证据中的焦点元素;加权平均证据中的0的质量来自生成证据;以及空集的质量占生成证据的总和。一些实验用来证明该方法的有效性。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2017年第11期|7635972.1-7635972.15|共15页
  • 作者

    Jiang Wen; Chang Yue; Wang Shiyu;

  • 作者单位

    Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China;

    Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China;

    Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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