[continued from previous message]   
      
   a response given new output. I am looking for suitable ways to transform the   
   historical data to be able to produce a "preference model", given that the   
   data bay be sparse, incomplete and unevenly distributed. I hoped using the   
   fuzzy paradigm may facilitate making an "educated guess" when, perhaps we   
   dont have enough data to use standard techniques.   
      
   Thanks   
      
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