Paper Info
Title
A New Class of Fuzzy Petri Nets for Knowledge Representation and Reasoning
Abstract
This paper presents a new class of Petri nets called generalised fuzzy Petri nets. The new class extends the existing fuzzy Petri nets by introducing three operators in the form of triangular norms, which are supposed to function as substitute for the min, max and * algebraic product operators. To demonstrate the power and the usefulness of this model, an application of the generalised fuzzy Petri nets in the domain of train traffic control is provided. The new model is more flexible than the classical one as in the former class the user has the chance to define the input/output operators. The proposed approach can be used for knowledge representation and reasoning in decision support systems.
Year
DOI
Venue
2013
10.3233/FI-2013-941
Fundam. Inform.
Keywords
Field
DocType
new class,existing fuzzy petri net,fuzzy petri net,generalised fuzzy petri net,decision support system,new model,output operator,fuzzy petri nets,algebraic product operator,knowledge representation,former class,decision support systems
Discrete mathematics,Knowledge representation and reasoning,Petri net,Algebraic number,Decision support system,Stochastic Petri net,Process architecture,New class,Artificial intelligence,Operator (computer programming),Mathematics
Journal
Volume
Issue
ISSN
128
1-2
0169-2968
Citations 
PageRank 
References 
11
0.60
13
Authors
1
Name
Order
Citations
PageRank
Zbigniew Suraj150159.96