Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid

DOI

10.2991/ifsa-eusflat-15.2015.107How to use a DOI?

Keywords

Centroid defuzzification, vectorial cen-troid, bayesian network, human intuition.

Abstract

In this paper, the theoretical foundations of generalised fuzzy Bayesian Network based on Vectorial Centroid defuzzification is introduced. The extension of Bayesi-an Network takes a broad view by examples labelled by a fuzzy set of attributes, instead of a classical set. Com-bining fuzzy set theory and Bayesian Network’s knowledge allows the use of fuzzy variables or attrib-utes that widely used in various applications in science and engineering. It is so highlights the integration of both knowledge’s considers the need of human intuition in data analysis. Through the experimental comparison and analysis on the BUPA-liver disorder dataset, the proposed methodology is then validated theoretically and empirically.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ku Muhammad Naim Ku Khalif
AU  - Alexander Gegov
PY  - 2015/06
DA  - 2015/06
TI  - Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 757
EP  - 764
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.107
DO  - 10.2991/ifsa-eusflat-15.2015.107
ID  - KuKhalif2015/06
ER  -