Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid

Ku Muhammad Naim Ku Khalif; Alexander Emilov Gegov

doi:10.2991/ifsa-eusflat-15.2015.107

Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid

Ku Muhammad Naim Ku Khalif
, Alexander Emilov Gegov

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

Original language	English
Title of host publication	16th world congress of the international fuzzy systems association (IFSA) and the 9th conference of the European society for fuzzy logic and technology (EUSFLAT)
Place of Publication	Paris
Publisher	Atlantis Press
Pages	757-764
ISBN (Print)	9789462520776
DOIs	https://doi.org/10.2991/ifsa-eusflat-15.2015.107
Publication status	Published - 2015

Publication series

Name	Advances in intelligent systems research
Publisher	Atlantis Press
Volume	89

Keywords

Centroid defuzzification
vectorial centroid
bayesian network
human intuition

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IFSA-EUSFLAT-2015_submission_120Final published version, 1.02 MB

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Cite this

Ku Khalif, K. M. N., & Gegov, A. E. (2015). Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid. In 16th world congress of the international fuzzy systems association (IFSA) and the 9th conference of the European society for fuzzy logic and technology (EUSFLAT) (pp. 757-764). (Advances in intelligent systems research; Vol. 89). Atlantis Press. https://doi.org/10.2991/ifsa-eusflat-15.2015.107

Ku Khalif, Ku Muhammad Naim ; Gegov, Alexander Emilov. / Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid. 16th world congress of the international fuzzy systems association (IFSA) and the 9th conference of the European society for fuzzy logic and technology (EUSFLAT). Paris : Atlantis Press, 2015. pp. 757-764 (Advances in intelligent systems research).

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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. ",

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author = "\{Ku Khalif\}, \{Ku Muhammad Naim\} and Gegov, \{Alexander Emilov\}",

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Ku Khalif, KMN & Gegov, AE 2015, Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid. in 16th world congress of the international fuzzy systems association (IFSA) and the 9th conference of the European society for fuzzy logic and technology (EUSFLAT). Advances in intelligent systems research, vol. 89, Atlantis Press, Paris, pp. 757-764. https://doi.org/10.2991/ifsa-eusflat-15.2015.107

Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid. / Ku Khalif, Ku Muhammad Naim; Gegov, Alexander Emilov.
16th world congress of the international fuzzy systems association (IFSA) and the 9th conference of the European society for fuzzy logic and technology (EUSFLAT). Paris: Atlantis Press, 2015. p. 757-764 (Advances in intelligent systems research; Vol. 89).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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KW - human intuition

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Ku Khalif KMN, Gegov AE. Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid. In 16th world congress of the international fuzzy systems association (IFSA) and the 9th conference of the European society for fuzzy logic and technology (EUSFLAT). Paris: Atlantis Press. 2015. p. 757-764. (Advances in intelligent systems research). doi: 10.2991/ifsa-eusflat-15.2015.107

Generalised fuzzy Bayesian Network with adaptive Vectorial Centroid

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