DocumentCode
2543348
Title
Exact classification error in bayes classifier with fuzzy observations
Author
Burduk, Robert
Author_Institution
Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol., Wroclaw, Poland
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
271
Lastpage
275
Abstract
The paper considers the problem of classification error in pattern recognition. This model of classification is primarily based on the Bayes rule and secondarily on the notion of fuzzy numbers. A probability of misclassifications is derived for a classifier under the assumption that the features are class-conditionally statistically independent, and we have fuzzy information on object features instead of exact information. Numerical example of this difference concludes the work.
Keywords
Bayes methods; fuzzy set theory; pattern classification; probability; Bayes classifier; classification error; fuzzy observation; pattern recognition; Approximation error; Bayesian methods; Fuzzy sets; Pattern analysis; Pattern recognition; Uncertainty; Bayes decision rule; fuzzy observations; probability of error;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference on
Conference_Location
Colombo
Print_ISBN
978-1-4244-8549-9
Type
conf
DOI
10.1109/ICIAFS.2010.5715672
Filename
5715672
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