【24h】

Fusion Method of Feature Weight Based on Evidence Support Matrix

机译:基于证据支持矩阵的特征权重融合方法

获取原文

摘要

This paper proposes a new fusion method that is based on weight of evidence support matrix eigenvector. The two factors that are conflict coefficient and evidence distance affecting evidence conflict are analyzed firstly. Evidence support matrix is constructed, and characteristic vector of the max eigenvalue can be calculated as the weight of evidence. Then the evidences with weight are fused using evidence combination formula. The method is proved reasonably and effectively according to experiment.
机译:本文提出了一种基于证据支持矩阵特征向量权重的融合方法。首先分析了影响系数冲突的两个因素,即冲突系数和证据距离。构建证据支持矩阵,并计算最大特征值的特征向量作为证据权重。然后使用证据组合公式将权重证据融合在一起。实验证明该方法合理有效。

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