I have set of fuzzy membership functions and fuzzy rules in the form of if-then rules. I am getting only one output at a time by defuzzying the rules. But I want to iterate all the rules again for updating the input values to get the updated output value. For dynamical models I need to iterate these rules for at least 'n' number of times. Does anybody knows to do this iteration. I am not asking about iterating rules from data, I am asking about iterating the existing fuzzy rules. If possible anyone can suggest the tool for this iterative procedure to get the output data.
Did you already tried Matlab? You can use the toolbox or use directly from a script or console. I had to do something similar and worked like a charm (however, attempt to noise that is carried on when you put the output from a FIS, for instance, to feed back the input).
I had tried Matlab. But once the rules are defuzzified then how iterate again to get the next defuzzified value. I need to continue the process of deffuzzification again and again iteratively. For this type of process could you have any tool or in Matlab itself can we get the iterated defuzzified value.
you may want to check the complete fuzzy toolbox in Matlab , it does have the ability to defuzzify continues process for further use .
Thank you for your suggestion Rahil Hosseini, If you have any lectures or implemented paper on this Fuzzy GA(FL dynamic) you can send me if possible..
If you want come to the desired position again, may be it will be useful for you learn something about recurrent fuzzy neural networks.
Thank you for your suggestion Danilo Rastovic.. If you have any lecture notes or papers regarding recurrent fuzzy neural networks, you can send me if possible..
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Control Theory
- Control Systems