By Topic

Extended Fuzzy Petri Nets for decision support

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Lehocki, F. ; Slovak Univ. of Technol., Bratislava ; Juhas, G. ; Lorenz, R. ; Drozda, M.

We present results for the formalism of extended fuzzy Petri Nets by enriching the enabling and firing rule by introducing the so-called weights and thresholds in order to filter the propagated knowledge. It is shown that knowledge propagation described using such extended fuzzy Petri nets still terminates in a unique stable state. Based on this result, the paper introduces an algorithm for knowledge propagation in medical decision support systems. We also discuss the general properties of knowledge propagation functions terminating in a unique stable state leading to the final recommendation of diagnose or treatment.

Published in:

Applied Sciences on Biomedical and Communication Technologies, 2008. ISABEL '08. First International Symposium on

Date of Conference:

25-28 Oct. 2008