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This article presents a recommender system based on rough mereology for predicting Ozone concentration in Kuwait through testing the data gathered from Al-Jahra station. The proposed recommender system consists of three phases; namely pre-processing, classification, and recommendation phases. To evaluate the performance of the presented recommender system, fifteen parameters were used. Those parameters...
Hydrological elements forecasting model has been improved continuously. The variation of hydrological elements has uncertainty, in order to explain the mechanism, we need to consider more factors related. In this study, gray model (GM (1, N)) self-memory model was established to consider more related factors, and then it was combined with back-propagation (BP) neural network model. Based on this combined,...
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