MODELING FUZZY REASONING USING HIGH LEVEL FUZZY PETRI NETS-Reference-Cited by-同舟云学术

MODELING FUZZY REASONING USING HIGH LEVEL FUZZY PETRI NETS

Published:1996-02 Issue:01 Volume:04 Page:61-85
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

SCARPELLI HELOISA¹,GOMIDE FERNANDO²,PEDRYCZ WITOLD³

Affiliation:

1. UFSCar/CCT/DC — Cx. Postal 676, 13565–905 São Carlos, SP, Brazil

2. Unicamp/FEE/DCA — Cx. Postal 6101, 13081–970 Campinas, SP, Brazil

3. University of Manitoba — Winnipeg — Manitoba, Canada T3T 2N2, Canada

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488596000056

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