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An Extended G-Net Model for Knowledge Representation

Maja Gerkšič ; Faculty of Electrical Engineering and Computer Science, University of Ljubljana, Slovenia
Nikola Pavešić ; Faculty of Electrical Engineering and Computer Science, University of Ljubljana, Slovenia

Puni tekst: engleski, pdf (4 MB) str. 193-200 preuzimanja: 36* citiraj
APA 6th Edition
Gerkšič, M. i Pavešić, N. (1994). An Extended G-Net Model for Knowledge Representation. Journal of computing and information technology, 2 (3), 193-200. Preuzeto s https://hrcak.srce.hr/150458
MLA 8th Edition
Gerkšič, Maja i Nikola Pavešić. "An Extended G-Net Model for Knowledge Representation." Journal of computing and information technology, vol. 2, br. 3, 1994, str. 193-200. https://hrcak.srce.hr/150458. Citirano 18.02.2020.
Chicago 17th Edition
Gerkšič, Maja i Nikola Pavešić. "An Extended G-Net Model for Knowledge Representation." Journal of computing and information technology 2, br. 3 (1994): 193-200. https://hrcak.srce.hr/150458
Harvard
Gerkšič, M., i Pavešić, N. (1994). 'An Extended G-Net Model for Knowledge Representation', Journal of computing and information technology, 2(3), str. 193-200. Preuzeto s: https://hrcak.srce.hr/150458 (Datum pristupa: 18.02.2020.)
Vancouver
Gerkšič M, Pavešić N. An Extended G-Net Model for Knowledge Representation. Journal of computing and information technology [Internet]. 1994 [pristupljeno 18.02.2020.];2(3):193-200. Dostupno na: https://hrcak.srce.hr/150458
IEEE
M. Gerkšič i N. Pavešić, "An Extended G-Net Model for Knowledge Representation", Journal of computing and information technology, vol.2, br. 3, str. 193-200, 1994. [Online]. Dostupno na: https://hrcak.srce.hr/150458. [Citirano: 18.02.2020.]

Sažetak
A new, generalized scheme for knowledge representation of fuzzy timed systems is proposed. The scheme is based on principles of a G-net model. We extended the existing G-net capabilities by the possibility of describing fuzzy defined and time dependent relationships among the system agents.

A fuzzy system is described by fuzzy relations. A fuzzy production rule is represented by a fuzzy term and valued by a certainty factor. Possibilities of modeling different types of knowledge are given.

Time dependencies in the systems and their representations vary according to the nature of the problems studied and a type of represented knowledge.

The represented scheme is capable of a static and a dynamic knowledge representation in a unique framework and enables interaction and coordination of both types of knowledge.

Finally, some illustrative examples are given.

Ključne riječi
G-net model; fuzzy production rule

Hrčak ID: 150458

URI
https://hrcak.srce.hr/150458

Posjeta: 67 *