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Reason., 52, 751, 10.1016\u002Fj.ijar.2011.01.011\nSanz, 2010, Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning, Inf. Sci., 180, 3674, 10.1016\u002Fj.ins.2010.06.018\nSanz, 2013, IVTURS: a linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection, IEEE Trans. Fuzzy Syst., 21, 399, 10.1109\u002FTFUZZ.2013.2243153\nL. Septem Riza, C. Bergmeir, F. Herrera, J. Benitez, Learning from data using the r package “frbs”, in: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014, pp. 2149–2155.\nSerdio, 2014, Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills, Inf. Sci., 259, 304, 10.1016\u002Fj.ins.2013.06.045\nSheng, 2012, A novel GA-fuzzy classification method for audio signals, J. Inform. Comput. 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