A FUZZY EXPONENTIAL NAIVE BAYES CLASSIFIER

被引：0
|
作者：
Moraes, R. M. [1 ]
Machado, L. S. [1 ]
机构：
[1] Univ Fed Paraiba, Lab Appl Stat Image Proc & Geoproc, Joao Pessoa, Paraiba, Brazil
来源：
UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2016年 / 10卷
关键词：
Exponential distribution; Naive Bayes; Fuzzy classification; Fuzzy Statistics;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Classifiers based on Exponential statistical distribution can be found in the scientific literature, but in some cases there is uncertainty on data accuracy. With focus on these cases, this paper presents a proposal of a new classifier named Fuzzy Exponential Naive Bayes network (FExpNB) for classification of lifetime data. The theoretical development is presented, as well as results of its application on simulated multidimensional data. A brief comparison among FExpNB, a classical Exponential Naive Bayes classifier and a Naive Bayes classifier was performed. The results obtained showed that the FExpNB provided the best performance, according to the Kappa coefficient.
引用
收藏
页码：207 / 212
页数：6
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