University of Tabriz Tabriz Journal of Electrical Engineering 2008-7799 47 2 2017 06 22 A User Based Fuzzy Rough Collaborative Filtering in Recommender Systems A User Based Fuzzy Rough Collaborative Filtering in Recommender Systems 491 500 5426 FA J. Hamidzadeh Faculty of Computer Engineering and Information Technology, Sadjad University of Technology, Mashhad, Iran M. Sadeghzadeh Faculty of Industrial Engineering, Sadjad University of Technology, Mashhad, Iran Journal Article 2015 10 04 Today, recommender systems, according to their special performance, are widely utilized in several scientific issues. Fuzzy recommender systems are the type of systems in which they are combined with fuzzy theory and give more flexibility to recommender systems. Nonetheless, in this article a new combination method from fuzzy rough set collaborative filtering is presented in which the distance is calculated based on Euclidean distance measure. In fact, by using fuzzy rough sets the applicants’ data are used regarding to have better prediction. This combination method via fuzzy rough sets increases the accuracy of prediction. Since, implemented experiments on test data depict recommended method has better validation in comparison with other reputed methods. Today, recommender systems, according to their special performance, are widely utilized in several scientific issues. Fuzzy recommender systems are the type of systems in which they are combined with fuzzy theory and give more flexibility to recommender systems. Nonetheless, in this article a new combination method from fuzzy rough set collaborative filtering is presented in which the distance is calculated based on Euclidean distance measure. In fact, by using fuzzy rough sets the applicants’ data are used regarding to have better prediction. This combination method via fuzzy rough sets increases the accuracy of prediction. Since, implemented experiments on test data depict recommended method has better validation in comparison with other reputed methods. https://tjee.tabrizu.ac.ir/article_5426_c089855d1051b7acb7e451bc94f5da49.pdf