Fuzzy logic on reading recommendation system

An improved method FLRS, a fuzzy logic with numeric weight for reading recommendation system, is proposed in this paper. Different numeric weights are attached to input factors which affect order result of reading recommendation materials in FLRS. The aim of this study is to improve the method RM-UP that proposed in author's previous study in terms of improve the efficiency and accuracy of the reading recommendation system. The experiment result demonstrate that the efficiency and accuracy of FLRS has significantly improved than RM-UP.