The results of correlation were prominent in disaster management to provide reference that may help the government, planners, and decision-makers to perform actions and mitigate flood events. | Journal of ICT, 17, No. 2 (April) 2018, pp: 167–189 How to cite this paper: Ahmad-Azani, N. I., Yusoff, N., & Ku-Mahamud, K. R. (2018). Fuzzy discretization technique for bayesian flood disaster model. Journal of Information and Communication Technology, 17 (2), 167–189. FUZZY DISCRETIZATION TECHNIQUE FOR BAYESIAN FLOOD DISASTER MODEL Nor Idayu Ahmad-Azami, 2Nooraini Yusoff & 2 Ku Ruhana Ku-Mahamud 1 Faculty of Information & Communication Technology Limkokwing University of Creative Technology, Malaysia 2, School of Computing, Data Science Research Lab Universiti Utara Malaysia, Kedah, Malaysia 1 ; nooraini@; ruhana@ ABSTRACT The use of Bayesian Networks in the domain of disaster management has proven its efficiency in developing the disaster model and has been widely used to represent the logical relationships between variables. Prior to modelling the correlation between the flood factors, it was necessary to discretize the continuous data due to the weakness of the Bayesian Network to handle such variables. Therefore, this paper aimed to propose a data discretization technique and compare the existing discretization techniques to produce a spatial correlation model. In particular, the main contribution of this paper was to propose a fuzzy discretization method for the Bayesian-based flood model. The performance of the model is based on precision, recall, F-measure, and the receiver operating characteristic area. The experimental results demonstrated that the fuzzy discretization method provided the best measurements for the correlation model. Consequently, the proposed fuzzy discretization technique facilitated the data input for the flood model and was able to help the researchers in developing effective early warning systems in Received: 3 May 2017 Accepted: 17 December 2017 167 Journal of ICT, 17, No. 2 (April) 2018, pp: 167–189 the future. In addition, the results of correlation were prominent in .
