Air Combat Target Threat Assessment Method on Belief Function Theory

2019 ◽  
pp. 2237-2248
Author(s):  
Guojing Xu ◽  
Shiyu Wang ◽  
Wen Jiang ◽  
Xinyang Deng ◽  
Chan Huang
Keyword(s):  
Function Theory ◽  
Threat Assessment ◽  
Belief Function ◽  
Assessment Method ◽  
Belief Function Theory ◽  
Air Combat

Data Association for Object Enumeration Using Belief Function Theory

2014 ◽  
pp. 383-392
Author(s):  
Wafa Rekik ◽  
Sylvie Le Hégarat-Mascle ◽  
Cyrille André ◽  
Abdelaziz Kallel ◽  
Roger Reynaud ◽  
...  
Keyword(s):  
Function Theory ◽  
Data Association ◽  
Belief Function ◽  
Belief Function Theory

Clustering data stream with uncertainty using belief function theory and fading function

2019 ◽  
Vol 24 (12) ◽  
pp. 8955-8974 ◽  
Author(s):  
Javad Hamidzadeh ◽  
Reyhaneh Ghadamyari
Keyword(s):  
Data Stream ◽  
Function Theory ◽  
Belief Function ◽  
Belief Function Theory ◽  
Clustering Data

scholarly journals Integration of Extra-Information for Belief Function Theory Conflict Management Problem Through Generic Association Rules

2014 ◽  
Vol 22 (04) ◽  
pp. 531-551 ◽  
Author(s):  
Ahmed Samet ◽  
Eric Lefèvre ◽  
Sadok Ben Yahia
Keyword(s):  
Decision Making ◽  
Conflict Management ◽  
Information Fusion ◽  
Information Sources ◽  
Function Theory ◽  
Belief Function ◽  
Management Approach ◽  
Management Problem ◽  
Extra Information ◽  
Belief Function Theory

Decision making by considering multiple information sources could provide interesting results. For that reason, fusion formalisms were a major concern in the belief function community. In this context, the Belief function theory allows information fusion thanks to its combinations tools that it integrates. Nevertheless, belief function theory highlights a limit in the merging of contradictory (conflictual) sources. Many authors tackled this problem offering contributions in this field. Unfortunately, no proposed operator has distinguished by its adequacy regardless the type of handled sources. In this paper, we demonstrate the limits of some referenced works and we diagnostic the issues origin. We propose a conflict management approach based on an extra-information that guides the treatment. We also integrate a generic associative base borrowed from the data mining domain in order to apply the adequate conflict management.

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