Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Hierarchical Fuzzy Petri Nets And α-level Sets Inference
Author: Camargo H.
Gomide F.
Abstract: The work developed in this paper focuses the representations of α-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 α 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 α-level sets, adopted in this work is also described. The convenience of applying Hierarchical HLFPN to the modeling of α-sets inference is discussed using a basic inference pattern with fuzzy rules.
Editor: John Wiley & Sons Inc, New York, NY, United States
Rights: fechado
Identifier DOI: 10.1002/(SICI)1098-111X(199908)14:8<859::AID-INT7>3.0.CO;2-4
Date Issue: 1999
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-0032679443.pdf168.72 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.