The nonconvex programming problem of minimizing a quasi-concave functi
on over an efficient (or weakly efficient) set of a multiobjective lin
ear program is studied. A cutting plane algorithm which finds an appro
ximate optimal solution in a finite number of steps is developed. For
the particular ''all linear'' case the algorithm performs better, find
ing an optimal solution in a finite time, and being more easily implem
ented.