Target setting in additive models with preferences and interval data

In this paper, the focus is on additive models with interval data.an additive modelcan be converted to a multi-objective linear problem if information about preferences ofthe consumption of inputs and the production of outputs are taken into account. herein this study, data are not exact and are of interval kind. moreover, the most preferredsolutions with available information by interval additive models are sought. it has alsobeen shown that if additional information is available, an axial solution can be applied.also, the most preferred target settings will be computed too. in this study twenty bankbranches in iran are evaluated, and target settings and efficiency are compared with theoriginal case and significant decisions are made.