Title :
Fuzzy Data in Local Optimal Strategy of Multistage Recognition
Author_Institution :
Wroclaw Univ. of Technol., Warsaw
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;
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
DOI :
10.1109/CISIM.2007.33
