Estimating outputs using an inverse non-radial model with non-discretionary measures

Few inverse data envelopment analysis (DEA) models have incorporated non-discretionary measures based on radial efficiency values. However, the may be miscounted in approaches when some non-zero slacks appear. Furthermore, there is scant research DEA to estimate performance restaurant industry. Accordingly, this proposes non-radial analyze and output changes of Iranian restaurants while also presenting measures. Actually, company factors, a approach its problem are introduced assess outputs for modifications inputs, respectively, inefficiency levels maintained (and they preserved or decreased). The each discretionary input specified using presented approach, targets determined through with inputs. results show containing leads more rational determinations DEA-founded problems. This presents analytic insights into resources entities data, such as restaurants.