Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid
Ku Muhammad Naim Ku Khalif, ALEXANDER E. GEGOV · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
In this paper, the theoretical foundations of generalised fuzzy Bayesian Network based on Vectorial Centroid defuzzification is introduced.The extension of Bayesian Network takes a broad view by examples labelled by a fuzzy set of attributes, instead of a classical set.Combining fuzzy set theory and Bayesian Network's knowledge allows the use of fuzzy variables or attributes 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.