How to Interpret Decision tree into IF-THEN rules in matlab

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..

[Abolfazl Nejatian]

I've this question too?