DocumentCode
2060141
Title
Some characteristics of an error in the two-class problem with fuzzy observations
Author
Burduk, Robert
Author_Institution
Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol., Wroclaw, Poland
fYear
2010
fDate
Nov. 29 2010-Dec. 1 2010
Firstpage
1001
Lastpage
1004
Abstract
In the work we consider the situation with exact classes and fuzzy information of object features. The classification error is presented for the two-class Bayes classifier. The results are received for the full probabilistic information. The new upper bound of the probability of an error is precise twice as much as the bound based on the information energy of fuzzy events.
Keywords
Bayes methods; error statistics; fuzzy set theory; pattern classification; classification error; error probability; fuzzy observation; two-class Bayes classifier; Bayes decision rule; fuzzy observations; information energy; probability of error;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-8134-7
Type
conf
DOI
10.1109/ISDA.2010.5687058
Filename
5687058
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