From: rodrigo.starr@poli.usp.br   
      
   Hi Luko,   
      
   I'm not a fuzzy specialist, only worked with it in my graduation project   
   (in a fuel injection control problem), but, from what I've read and from   
   my little experience, I can say that fuzzy logic is a good option when   
   you have a (control) problem where the system is either too complicated   
   to draw an analytical solution or not well understood, but where you (or   
   someone else) can "feel" that there is a solution, or can describe a   
   solution in our usual semantic terms. The drawbacks are that the fuzzy   
   controller is neither guaranteed to be stable, neither to be optimal   
   (though, if you have an analytical model, I've read somewhere a method   
   to proof the stability, _if_ it is possible to carry on the analysis...)   
      
   Also, fuzzy logic control systems are *usually* more robust and have   
   better noise immunity than other control systems (though, as usual with   
   fuzzy systems, these are rather intuitive results, and I don't know any   
   proof of it)   
      
   I can't say anything about stochastic systems, I've never worked with   
   them...   
      
   hope it may be of some help,   
   Rodrigo.   
      
   Luko wrote:   
   > Come back to the first question.   
   >   
   > Where and why not use fuzzy?   
   >   
   > I can use it in deterministic or stochastic cases, and then where do i   
   > can't?   
   >   
   > Luko   
   >   
   >   
      
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