Recommender system for ground-level Ozone predictions in Kuwait

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 were developed and validated between Jan. 2006 and Sept. 2010. The obtained results demonstrated the effectiveness and the reliability of the proposed recommender system.