A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes

Ronei Marcos de Moraes; Liliane S. Machado

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Paper

A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes

Topics: Pattern Recognition: Fuzzy Clustering and Classifiers

In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1 ECTA: ECTA, 193-198, 2015 , Lisbon, Portugal

Authors: Ronei Marcos de Moraes and Liliane S. Machado

Affiliation: Universidade Federal da Paraíba, Brazil

Keyword(s): Classification, Fuzzy Poisson Naive Bayes, Epidemiology.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Pattern Recognition: Fuzzy Clustering and Classifiers ; Soft Computing

Abstract: Statistical methods have been used to classify data in different areas. In epidemiological studies, some measures follow specific statistical distribution and compatible classifiers can be designed for those cases. Classifiers based on measures that follow Poisson distributions can be found in the scientific literature. Due to uncertainty on epidemiological measures, a fuzzy approach may be interesting and the present work proposes a new classifier named Fuzzy Poisson Naive Bayes (FPNB). The theoretical development is presented as well as results of its application on simulated multidimensional data. A brief comparison with a classical Poisson Naive Bayes classifier and with a Naive Bayes classifier is performed too.

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Paper citation in several formats:

Moraes, R. and S. Machado, L. (2015). A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes. In Proceedings of the 7th International Joint Conference on Computational Intelligence (ECTA 2015) - FCTA; ISBN 978-989-758-157-1, SciTePress, pages 193-198. DOI: 10.5220/0005642801930198

@conference{fcta15,
author={Ronei Marcos de Moraes. and Liliane {S. Machado}.},
title={A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence (ECTA 2015) - FCTA},
year={2015},
pages={193-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005642801930198},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence (ECTA 2015) - FCTA
TI - A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes
SN - 978-989-758-157-1
AU - Moraes, R.
AU - S. Machado, L.
PY - 2015
SP - 193
EP - 198
DO - 10.5220/0005642801930198
PB - SciTePress