A Recognition-Inference Procedure for a Knowledge Representation Scheme Based on Fuzzy Petri Nets (CROSBI ID 523657)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ribarić, Slobodan ; Pavešić, Nikola
engleski
A Recognition-Inference Procedure for a Knowledge Representation Scheme Based on Fuzzy Petri Nets
This paper presents a formal model of the knowledge representation scheme KRFP based on the Fuzzy Petri Net (FPN) theory. The model is represented as an 11-tuple consisting of the components of the FPN and two functions that give semantic interpretations to the scheme. For the scheme a fuzzy recognition-inference procedure, based on the dynamical properties of the FPN and the inverse – KRFP scheme, is described in detail. An illustrative example of the fuzzy recognition algorithm for the knowledge base, designed by the KRFP, is given.
Fuzzy Petri Net; knowledge representation; inference procedure; recognition
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Podaci o prilogu
38-48.
2006.
objavljeno
Podaci o matičnoj publikaciji
5th Mexican International Conference on Artificial Intelligence : MICAI 2006 : Advances in Artificial Intelligence
Carbonell, J. G. ; Siekmann, J.
Heidelberg: Springer
978-3-540-49026-5
Podaci o skupu
Mexican International Conference on Artificial Intelligence (5 ; 2006)
poster
13.11.2006-17.11.2006
Apizaco, Meksiko
