Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/82490
Type: Artigo de periódico
Title: Modeling fuzzy reasoning using High Level Fuzzy Petri Nets
Author: Scarpelli, H
Gomide, F
Pedrycz, W
Abstract: A formal tool, the High Level Fuzzy Petri Net, is proposed for representing and processing fuzzy production rules in a knowledge base. The basic net structures to model inference patterns in approximate reasoning are introduced. The chaining mechanism used and the modeling of rules with fuzzy quantifiers and certainty factors are discussed. We have also investigated the representation of parallel and conflicting rules. Two types of fuzzy reasoning algorithms, to answer data driven and goal driven queries are described. The issue of time complexity of the algorithms is also addressed.
Subject: Fuzzy Petri Nets
fuzzy production rules
approximate reasoning
fuzzy modeling
knowledge based systems
Country: Singapura
Editor: World Scientific Publ Co Pte Ltd
Rights: fechado
Identifier DOI: 10.1142/S0218488596000056
Date Issue: 1996
Appears in Collections:Unicamp - Artigos e Outros Documentos

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