Naslov
A Recognition-Inference Procedure for a Knowledge Representation Scheme Based on Fuzzy Petri Nets

Autori
Ribarić, Slobodan ; Pavešić, Nikola

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
5th Mexican International Conference on Artificial Intelligence : MICAI 2006 : Advances in Artificial Intelligence / Carbonell, J. G. ; Siekmann, J. - Heidelberg : Springer, 2006, 38-48

ISBN
978-3-540-49026-5

Skup
Mexican International Conference on Artificial Intelligence (5 ; 2006)

Mjesto i datum
Apizaco, Meksiko, 13.11.2006. - 17.11.2006

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Fuzzy Petri Net; knowledge representation; inference procedure; recognition

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA