Detection of fuzzy association rules by fuzzy transforms

HIGHLIGHTS

• who: Ferdinando Di, Martino and Salvatore, Sessa from the Via Monteoliveto, Napoli, Italy have published the article: Detection of Fuzzy Association Rules by Fuzzy Transforms, in the Journal: (JOURNAL) of 25/06/2012
• what: The authors propose a new approach for detecting coarsegrained fuzzy association rules in datasets, based on fuzzy transforms (for short, F-transforms), which are already used for image analysis , data_analysis , and forecasting . As examples, in Figures 2 and 3 the authors show the case of two attributes, X1 and X2. If the partition set is too fine, the authors decrement the . . .
  

   

  

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