Joint tracking and classification of nonlinear trajectories of multiple objects using the transferable belief model and multi-sensor fusion framework

Author(s):  
G. Powell ◽  
D. Marshall
2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Hugues Marie Kamdjou ◽  
Elie Tagne Fute ◽  
Adnen El Amraoui ◽  
Armand Nzeukou

Author(s):  
Olcay Polat ◽  
Seda Gökçe Akçok ◽  
Mehmet Anıl Akbay ◽  
Duygu Topaloğlu ◽  
Seher Arslan ◽  
...  

Author(s):  
Enrique Miranda ◽  
Ignacio Montes

We investigate the role of some game solutions, such the Shapley and the Banzhaf values, as probability transformations. The first one coincides with the pignistic transformation proposed in the Transferable Belief Model; the second one is not efficient in general, leading us to consider its normalized version. We study a number of particular models of lower probabilities: minitive measures, coherent lower probabilities, as well as the lower probabilities induced by comparative or distortion models. For them, we provide some alternative expressions of the Shapley and Banzhaf values and study under which conditions they belong to the core of the lower probability.


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