From: mailbox@dmitry-kazakov.de   
      
   On 2016-12-15 18:41, Christian Setzkorn wrote:   
      
   > How do you deal with categorical features (e.g. color, gender) in   
   > TSK  fuzzy rule systems used for regressions. Are they encoded as dummy   
   > variables, similar to linear regression. Standard fuzzy sets could then   
   > be defined on a dummy variable's domain [0 ... 1].   
      
   1. Nominal discrete feature with the enumeration domain: {Red, Blue,   
   Black, White}.   
      
   2. Fuzzified continuous domain, e.g. 3-D color space with fuzzy subsets   
   defined on it, e.g. Red : Color_Space -> [0,1]. What FCL calls "term".   
      
   A fuzzy set over the domain X : {Red, Blue, Black, White} -> [0,1]   
      
   --   
   Regards,   
   Dmitry A. Kazakov   
   http://www.dmitry-kazakov.de   
      
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