How to Interpret Decision tree into IF-THEN rules in matlab
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I can easily generate a decision tree from the following code:*BOLD TEXT*
load fisheriris;
t = classregtree(meas,species,'names',{'SL' 'SW' 'PL' 'PW'});
view(t);
But I could not found any way to interpret the tree t into a matrix through which I could make IF-THEN rules so that the antencident and decendent could be used for fuzzification process. Can anyone please help me in this regard..
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