  The coexistence of different Radio Access Technologies (RATs) in the same
area has enabled the researchers to get profit from the available networks by
the selection of the best RAT at each moment to satisfy the user requirements.
The challenge is to achieve the Always Best Connected (ABC) concept; the main
issue is the automatic choice of the suitable Radio Access Technology (RAT)
from the list of the available RATs. This decision is called network selection
(NS). In this paper, we propose a modified Simple Additive Weigh (modified-SAW)
function to deal with the drawbacks of the existing solutions. Indeed, the
existing Multiple Attribute Decision Making (MADM) methods suffer mainly from
the famous problem of rank reversal once an alternative is added or removed,
other problems occur in the legacy MADMs. We modify the SAW method
intelligently and we use it to solve the NS problem. Finally, we compare the
performance of our solution with the previous works in different scenarios; the
simulations show that our proposal outperforms the other existing methods
