A Weighted Combination Method for Conflicting Evidence in Multi-Sensor Data Fusion

A Weighted Combination Method for Conflicting Evidence in Multi-Sensor Data Fusion

Dempster–Shafer evidence theory is widely applied in various fields related to information fusion. However, how to avoid the counter-intuitive results is an open issue when combining highly conflicting pieces of evidence. In order to handle such a problem, a weighted combination method for...

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Bibliographic Details
Main Authors: Fuyuan Xiao, Bowen Qin
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Sensors
Subjects:
multi-sensor data fusion
conflicting evidence
Dempster–Shafer evidence theory
belief entropy
similarity measure
data classification
fault diagnosis
Online Access:http://www.mdpi.com/1424-8220/18/5/1487

Internet

http://www.mdpi.com/1424-8220/18/5/1487

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