  Based on the concept of new type of statistical convergence defined by
Aktuglu, we have introduced the weighted $\alpha\beta$ - statistical
convergence of order $\theta$ in case of fuzzy functions and classified it into
pointwise, uniform and equi-statistical convergence. We have checked some basic
properties and then the convergence are investigated in terms of their
$\alpha$-cuts. The interrelation among them are also established. We have also
proved that continuity, boundedness etc are preserved in the equi-statistical
sense under some suitable conditions, but not in pointwise sense.
