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Inference Procedures for Fuzzy Knowledge Representation Scheme (CROSBI ID 146962)

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Ribarić, Slobodan ; Pavešić, Nikola Inference Procedures for Fuzzy Knowledge Representation Scheme // Applied artificial intelligence, 23 (2009), 1; 16-43. doi: 10.1080/08839510802379634

Podaci o odgovornosti

Ribarić, Slobodan ; Pavešić, Nikola

engleski

Inference Procedures for Fuzzy Knowledge Representation Scheme

This article presents a formal model of the knowledge representation scheme based on the fuzzy Petri net (FPN) theory. The model is represented as a 13-tuple consisting of the components of the FPN, two functions that give semantic meanings to the scheme and a set of contradictions. For the scheme, called the knowledge representation scheme based on the fuzzy Petri nets theory (KRFPN) the fuzzy inheritance and fuzzy recognition-inference procedures based on the dynamical properties of the FPN, are described in detail. The upper-time complexity of both the proposed inference algorithms is O(nm), where n is the number of places (concepts) and m is the number of transitions (relations) in the scheme. Illustrative examples of the fuzzy inheritance and the fuzzy recognition algorithms for the knowledge base, designed by the KRFPN, are given.

Fuzzy Knowledge Representation; Inference procedures; Recognition; Inheritance; Petri Nets

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Podaci o izdanju

23 (1)

2009.

16-43

objavljeno

0883-9514

10.1080/08839510802379634

Povezanost rada

Računarstvo

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