Fuzzy Bayesian Classifier for LR-Type Fuzzy Numbers

Bayesian decision theory is a fundamental statistical approach to the problem of pattern classification. In this paper, we proposed a fuzzyBayesian classifier (FBC) over LR-type fuzzy numberswith unknown conditional probability density function. A new version of K-NN method is used to estimateconditional probability density function for Bayesian classification of fuzzy numbers. Experimentations show that this method has good recognition rate over fuzzy numbers even in presence of noise

Keywords:

Bayesian decision theory , pattern classification , fuzzy Bayesian classifier , LR-type fuzzy number , K-NN method