Multi-sensor data fuzzy fusion based on confidence membership level

HE Ming

doi:10.13873/J.1000-9787(2015)09-0038-03

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Multi-sensor data fuzzy fusion based on confidence membership level

更新时间：2025-09-11

- Multi-sensor data fuzzy fusion based on confidence membership level
- Vol. 34, Issue 9, Pages: 38-40(2015)
- 作者机构：
  
  江西财经大学信息管理学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)09-0038-03
  CLC： TP202;TP212
- Published：2015
- 稿件说明：
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[1]何明.基于置信隶属度的多传感器数据模糊融合[J].传感器与微系统,2015,34(09):38-40.

HE Ming. Multi-sensor data fuzzy fusion based on confidence membership level[J]. 2015, 34(9): 38-40.
[1]何明.基于置信隶属度的多传感器数据模糊融合[J].传感器与微系统,2015,34(09):38-40. DOI： 10.13873/J.1000-9787(2015)09-0038-03.

HE Ming. Multi-sensor data fuzzy fusion based on confidence membership level[J]. 2015, 34(9): 38-40. DOI： 10.13873/J.1000-9787(2015)09-0038-03.

摘要

在数据的融合过程中

将每个传感器的数据看成服从正态分布

利用置信水平得到隶属度

构造优越性比较矩阵

进而得到融合后的数据

将该方法运用于实证

并与平均权、概率权等方法进行比较

实证部分验证了该方法的实用性

再进行多次仿真

通过绝对误差的比较

验证了此方法的稳定性和有效性。

Abstract

In process of data fusion

take data from each sensor as normal distribution

membership degree is obtained by confidence level

construct superiority comparision matrix and then get fused data

when the method is used in evidence

and compared with the average weight

the probability weight

etc. The empirical part verify practicality of this method

and then conduct a number of simulations

by comparing absolute error

verify stability and effectiveness of this method.

关键词

Keywords

references

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多传感器数据融合的概率权方法 [J]. 万树平. 传感器与微系统 . 2009(08)

基于支持度的多传感器一致可靠性融合 [J]. 孙勇,景博. 传感技术学报 . 2005(03)

多传感器数据融合的一种方法 [J]. 王威,周军红,王润生. 传感器技术 . 2003(09)

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一种基于模糊理论的一致性数据融合方法 [J]. 王婷杰,施惠昌. 传感器技术 . 1999(06)

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