2007 6th International Conference on Computer Information Systems and Industrial Management Applications Fuzzy Data in Local Optimal Strategy of Multistage Recognition Elk, Poland June 28-June 30 ISBN: 0-7695-2894-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CISIM.2007.33
The paper deals with the recognition task with a full probabilistic information. In this problem of recognition the Bayesian statistic is applied and multistage recognition is considered. The information on objects features is fuzzy-valued. The decision rules minimize the mean risk, that is the mean value of the zero-one loss function. The probability of misclassification for local optimal strategy and the difference between probability of misclassification for the fuzzy-valued and crisp data are presented. Simple example conclude the work and influence of the width of the fuzzy number on this difference is discussed.
Citation:
Robert Burduk, "Fuzzy Data in Local Optimal Strategy of Multistage Recognition," cisim, pp.251-254, 2007 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb