Title :
Some characteristics of an error in the two-class problem with fuzzy observations
Author_Institution :
Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol., Wroclaw, Poland
fDate :
Nov. 29 2010-Dec. 1 2010
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;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8134-7
DOI :
10.1109/ISDA.2010.5687058
