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CPS1845 Devni P.S. et al.
                From Figure 3 we can conclude that the level of damage to buildings for
            state Slight, Moderate, and Heavy  are 35.46%, 35.14%, and 29.4%
            respectively.


            4.  Discussion and Conclusion
                We can conclude from the results section above that the formation of the
            BN  model  is  faster and more  efficient  with  the role  of  bnlearn  and GeNIe
            packages. Package bnlearn is an R package that is very suitable for dealing
            with cases of analysis in experimental data. For both discrete and continuous
            data, as well as combination data, this package is very flexible to use. This
            package is good for learning structure and parameters. Whereas GeNIe, the
            Graphical Network Interface, is designed to enhance the appearance of BN
            Models. This software can also increase flexibility for model. Users can also use
            GeNIe to choose alternative decisions that have the highest profit or utility
            expected.

            References
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            3.  Blaser, L., Ohrnberger, M., Riggelsen, C., Babeyko, A., & & Scherbaum, F.
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            4.  Druzdzel, M., & Flynn, R. (2002). Decision Support Systems. Encyclopedia
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