@inproceedings{2edd849383e147c2b782bebefab8332f,
title = "Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid",
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{\textquoteright}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{\textquoteright}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. ",
keywords = "Centroid defuzzification, vectorial centroid, bayesian network, human intuition",
author = "{Ku Khalif}, {Ku Muhammad Naim} and Gegov, {Alexander Emilov}",
year = "2015",
doi = "10.2991/ifsa-eusflat-15.2015.107",
language = "English",
isbn = "9789462520776",
series = "Advances in intelligent systems research",
publisher = "Atlantis Press",
pages = "757--764",
booktitle = "16th world congress of the international fuzzy systems association (IFSA) and the 9th conference of the European society for fuzzy logic and technology (EUSFLAT)",
address = "Netherlands",
}