In the present paper, we focus on multi-level nonlinear integer 
programming problems (MLNLIPPs) in which there exist decision makers (DMs) 
with integer decision variables at all levels. 
Various approaches for multi-level programming problems could exist 
according to situations which the DMs are placed in. 
Assuming the cooperative relationship among the DMs at all levels, 
in this paper, an interactive fuzzy programming technique through 
genetic algorithms for MLNLIPPs is proposed to obtain a satisfactory solution 
for all DMs. 
Furthermore, the feasibility of the proposed method is shown by applying 
it to an illustrative numerical example.