c92c4f86   
   From: mailbox@dmitry-kazakov.de   
      
   On Tue, 14 Oct 2008 13:59:35 -0700 (PDT), bakim wrote:   
      
   > I would like to know the opinion and comment from various experts who   
   > are actively engaged in Fuzzy logic rule based modeling, about the   
   > possibility of integrating both the spatial and temporal data in   
   > generating a rule set and developing a fuzzy model.   
   > I have explore some of the possibilties but i am not certain about the   
   > procedure I have adopted. I am working on an Environmental assessment   
   > modeling based on Fuzzy logic rule based concept. One of the parameter   
   > I have considered as an input variable is Rainfall, which is varying   
   > temporally ( daily, monthly, yearly ) apart from other input   
   > parameters like landuse, soil, slope, vegetation cover etc, which vary   
   > spatially. The problem, I have is to asses how can I integrate both   
   > the spatial and temporal variables in developing the Fuzzy Knowledge   
   > base, (Rules and membership function).   
      
   You should say where you see any problem. Rainfall is not time dependent,   
   it is a value. It would be likely a fuzzy value over some numeric domain   
   like milliliter of water per square centimeter. That this value is the   
   result of some function of some place on the Earth and clock is irrelevant   
   to the issue, as you consider the rainfall as an input. (It could be   
   different, if the inputs were rather the location coordinates and clock.)   
      
   Clearly, the decision made depends on the rainfall. It does not matter   
   whether this water fell at 15 or 16 October, again assuming that the time   
   is not an input. The laws of physics do not change with the calendar.   
      
   --   
   Regards,   
   Dmitry A. Kazakov   
   http://www.dmitry-kazakov.de   
      
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