weighted logics
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Author(s):  
L.S. Jensen ◽  
I. Kaufmann ◽  
K.G. Larsen ◽  
S.M. Nielsen ◽  
J. Srba

2017 ◽  
Vol 88 ◽  
pp. 385-386
Author(s):  
Marcelo Finger ◽  
Lluis Godo ◽  
Henri Prade ◽  
Guilin Qi

2016 ◽  
Vol 22 (4) ◽  
pp. 1085-1102
Author(s):  
Kim G. Larsen ◽  
Radu Mardare ◽  
Bingtian Xue
Keyword(s):  

2015 ◽  
Vol 22 (4) ◽  
pp. 1047-1065 ◽  
Author(s):  
Paul Gastin ◽  
Benjamin Monmege

2015 ◽  
Vol 13 (4) ◽  
pp. 395-396
Author(s):  
Lluis Godo ◽  
Henri Prade ◽  
Guilin Qi

2014 ◽  
Vol 15 (2) ◽  
pp. 1-35 ◽  
Author(s):  
Benedikt Bollig ◽  
Paul Gastin ◽  
Benjamin Monmege ◽  
Marc Zeitoun

Author(s):  
Lydia Bouzar-Benlabiod ◽  
Salem Benferhat ◽  
Thouraya Bouabana-Tebibel

Weighted logics are important tools for reasoning under uncertain knowledge. A weighted knowledge base is a set of weighted formulas of the form (φi, αi) where φi is a propositional formula and αi is the certainty degree associated with φi. This paper addresses two issues in the possibility theory framework: i) how to compare two weighted knowledge bases with respect to their information contents? and ii) how to syntactically define the concept of forgetting variables? We show that comparing knowledge bases is the counterpart of the concept of the specificity relation defined between possibility distributions.


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