A Fuzzy Rule Mining Approach involving Absent Items
Miguel Delgado‐Rodríguez, Maria Dolores Ruiz, Daniel Sánchez, José-Marı́a Serrano · 2011
In this paper we present how to extract fuzzy association rules involving both the presence and the absence of items using a fuzzy rule mining procedure introduced by the authors in previous works.The rule mining procedure is based on the GUHA logical model, fuzzified via a recently proposed representation of gradualness.We present some results obtained with real datasets.