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amount of green. We applied Bayesian networks to construct graphical models that represented the correlation between the ratio of the evaluation for the amount of green and the visible green of a close-to-mid-range view, a distant view, and other elements which green environment was composed. By executing probabilistic reasoning of Bayesian networks on these models, the probabilistic model contained the relationship between the elements of the close-to-mid-range of visible green and the elements of the distant range, which was found in the visible green study in Kyoto City, verifying the model’s validity. Furthermore we deduced the evaluation of the green environments and the ratio of visible green in closeto-mid-range views for “satisfaction”. Finally, a conclusion was made regarding the way to use the probabilistic model of green evaluation for application of visible green of close-to-mid-range views.

A STUDY ON PROBABILISTIC MODEL OF EVALUATION OF GREEN ENVIRONMENT BASED ON RATIO OF VISIBLE GREEN USING BAYESIAN NETWORK