scholarly journals An Extension to Deng’s Entropy in the Open World Assumption with an Application in Sensor Data Fusion

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1902 ◽  
Author(s):  
Yongchuan Tang ◽  
Deyun Zhou ◽  
Felix Chan
Keyword(s):  
Data Fusion ◽  
Sensor Data ◽  
Sensor Data Fusion ◽  
Open World ◽  
Open World Assumption

scholarly journals Incomplete Information Management Using an Improved Belief Entropy in Dempster-Shafer Evidence Theory

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 993 ◽  
Author(s):  
Bin Yang ◽  
Dingyi Gan ◽  
Yongchuan Tang ◽  
Yan Lei
Keyword(s):  
Data Fusion ◽  
Incomplete Information ◽  
Information Fusion ◽  
Evidence Theory ◽  
Sensor Data ◽  
Uncertain Information ◽  
Open World ◽  
Belief Entropy ◽  
Open World Assumption ◽  
Deng Entropy

Quantifying uncertainty is a hot topic for uncertain information processing in the framework of evidence theory, but there is limited research on belief entropy in the open world assumption. In this paper, an uncertainty measurement method that is based on Deng entropy, named Open Deng entropy (ODE), is proposed. In the open world assumption, the frame of discernment (FOD) may be incomplete, and ODE can reasonably and effectively quantify uncertain incomplete information. On the basis of Deng entropy, the ODE adopts the mass value of the empty set, the cardinality of FOD, and the natural constant e to construct a new uncertainty factor for modeling the uncertainty in the FOD. Numerical example shows that, in the closed world assumption, ODE can be degenerated to Deng entropy. An ODE-based information fusion method for sensor data fusion is proposed in uncertain environments. By applying it to the sensor data fusion experiment, the rationality and effectiveness of ODE and its application in uncertain information fusion are verified.

Operator Use of Multi-Sensor Data Fusion for Airborne Picture Compilation

2020 ◽  
Author(s):  
Geoffrey Ho ◽  
Erin Kim ◽  
Shahzaib Khattak ◽  
Stephanie Penta ◽  
Tharmarasa Ratnasingham ◽  
...  
Keyword(s):  
Data Fusion ◽  
Sensor Data ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion

Multi-body sensor data fusion to evaluate the hippotherapy for motor ability improvement in children with cerebral palsy

2021 ◽  
Vol 70 ◽  
pp. 115-128
Author(s):  
Jie Li ◽  
Zhelong Wang ◽  
Sen Qiu ◽  
Hongyu Zhao ◽  
Jiaxin Wang ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Data Fusion ◽  
Sensor Data ◽  
Motor Ability ◽  
Sensor Data Fusion ◽  
Children With Cerebral Palsy ◽  
Multi Body
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