Title of article :
Graph ambiguity
Author/Authors :
Livi، نويسنده , , Lorenzo and Rizzi، نويسنده , , Antonello، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
24
From page :
24
To page :
47
Abstract :
In this paper, we propose a rigorous way to define the concept of ambiguity in the domain of graphs. In past studies, the classical definition of ambiguity has been derived starting from fuzzy set and fuzzy information theories. Our aim is to show that also in the domain of the graphs it is possible to derive a formulation able to capture the same semantic and mathematical concept. To strengthen the theoretical results, we discuss the application of the graph ambiguity concept to the graph classification setting, conceiving a new kind of inexact graph matching procedure. The results prove that the graph ambiguity concept is a characterizing and discriminative property of graphs.
Keywords :
Information measures , Fuzzy sets , Fuzzy clustering , Graph mining , Graph matching , Graph representation
Journal title :
FUZZY SETS AND SYSTEMS
Serial Year :
2013
Journal title :
FUZZY SETS AND SYSTEMS
Record number :
1601683
Link To Document :
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