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Pregled bibliografske jedinice broj: 379172

Časopis

Autori: Ribarić, Slobodan; Pavešić, Nikola
Naslov: Inference Procedures for Fuzzy Knowledge Representation Scheme
Izvornik: Applied Artificial Intelligence (0883-9514) 23 (2009), 1; 16-43
Vrsta rada: članak
Ključne riječi: Fuzzy Knowledge Representation; Inference procedures; Recognition; Inheritance; Petri Nets
Sažetak:
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.
Projekt / tema: 036-0361935-1954
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Puni text rada: 379172.Inference-procedures.pdf (tekst priložen 22. Sij. 2009. u 15:02 sati)
Broj citata:
Altmetric:
DOI: 10.1080/08839510802379634
URL cjelovitog teksta:
Google Scholar: Inference Procedures for Fuzzy Knowledge Representation Scheme
Upisao u CROSBI: sribaric@fer.hr (sribaric@fer.hr), 20. Sij. 2009. u 16:19 sati



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