DocumentCode
3065556
Title
Fuzzy Data in Local Optimal Strategy of Multistage Recognition
Author
Burduk, Robert
Author_Institution
Wroclaw Univ. of Technol., Warsaw
fYear
2007
fDate
28-30 June 2007
Firstpage
251
Lastpage
254
Abstract
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.
Keywords
Bayes methods; fuzzy set theory; pattern recognition; Bayesian statistic; decision rules; fuzzy data; local optimal strategy; misclassification; multistage recognition; probabilistic information; recognition task; Bayesian methods; Computer networks; Data mining; Fuzzy set theory; Fuzzy systems; Paper technology; Probability; Statistical analysis; Statistics; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Information Systems and Industrial Management Applications, 2007. CISIM '07. 6th International Conference on
Conference_Location
Minneapolis, MN
Print_ISBN
0-7695-2894-5
Type
conf
DOI
10.1109/CISIM.2007.33
Filename
4273529
Link To Document