From: grsNOSPAM@NO-SPAMmail.com   
      
   >>-- only that the comments in this thread have not focused on what   
   >>fuzzy logic actually means and what fizzy logic actually does and how   
   >>it actually works.   
   >   
   > Maybe because nobody actually knows.   
      
   A bit strong a statement. I'd rather say a lot of people don't care   
   to figure it out. Big difference.   
      
   I have seen a lot of people (including engineers) considering fuzzy   
   logic either as a "black box" or as a gadget that actually may or may   
   not work.   
   Neither views are leading to any interesting results.   
      
   Having said that, I might add my "grain of salt".   
   I personally think that there is no fundamental difference between   
   a trained neural network at a given point and a fuzzy logic system.   
   Both work with imprecise input values and internal rules to yield   
   specific results. A given trained NN is functionally equivalent to   
   a fuzzy system. The big advantage of FL being, of course, that you   
   can actually create the rules - whereas, in a NN, there is no or little   
   way you can control or even figure out the internal rules as they are   
   evolving during the training phase.   
      
   An interesting research topic would be whether it is possible to   
   transform a given NN into a FL system and vice versa, and in which   
   cases. I don't know if it has already been studied.   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)