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Type: Artigo de periódico
Title: Hierarchical fuzzy Petri nets and alpha-level sets inference
Author: Camargo, H
Gomide, F
Abstract: The work developed in this paper focuses the representations of alpha-level sets inference using the Hierarchical High Level Fuzzy Petri Nets. The. basic hierarchical construct used is the substitution of transitions. The modeling process is carried Out defining one non-hierarchical HLFPN called page, that models the general operation and having different instances of the page for each one of the intervals representing the alpha sets. The concepts of HLFPN and Hierarchical HLFPN proposed earlier are reviewed, as well as the ability to model fuzzy rule based systems in a compact form provided by the hierarchical constructs and pages. The inference method based on alpha-level ets, adopted in this work is also described. The convenience of applying Hierarchical HLFPN to the modeling of alpha-sets inference is discussed using a basic inference pattern with fuzzy rules. (C) 1999 John Wiley & Sons, Inc.
Country: EUA
Editor: John Wiley & Sons Inc
Citation: International Journal Of Intelligent Systems. John Wiley & Sons Inc, v. 14, n. 8, n. 859, n. 871, 1999.
Rights: fechado
Identifier DOI: 10.1002/(SICI)1098-111X(199908)14:8<859
Date Issue: 1999
Appears in Collections:Unicamp - Artigos e Outros Documentos

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