I wonder if I can combine fuzzy logic (and fuzzy mapping) with a program of machine learning on Scilab. I would like to make a program to simulate a simple clinical decision and model a fuzzy mapping of the mind process.
I'm not sure exactly what you are asking. If you are simply asking whether it is possible then the answer is "yes" and also that scilab has a fuzzy logic toolbox to make this easier (sciFLT). If you are asking how to use this toolbox to combine fuzzy set theory with a particular machine learning approach, then some additional info would help.
If we consider brain as a search motor in clinical decision making, we use test's result and palpation as inputs and the brain gives us as an output a list of possible diagnosis.
I would like to make an experience of machine learning with a fuzzy logic approach. I already use sciFLT to model simple decision making. I would like to make a step forward with the machine learning but I wonder if Scilab could be used for this research.
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