Target setting in additive models with preferences and interval data

در اين مقاله مدلهاي جمعي با دادههاي بازهاي مورد بحث قرار مي گيرند. اگر اطلاعات در مورد ارجحيت هاي مصرف ورودي يا توليد خروجي در نظر گرفته شود، مدل جمعي به مدل خطي چند هدفي تبديل مي شود. در اين مقاله با اطلاعات موجود ارجح ترين جوابها با كمك جوابهاي محوري بهدست ميآيند. همچنين هدف گذاري متناسب با اين اطلاعات مورد بررسي قرار ميگيرد. در اين مطالعه بيست شعبه يكي از بانكهاي ايران مورد ارزيابي قرار گرفته و با مدل اصلي مقايسه شده است.

In this paper, the focus is on additive models with interval data.An additive model can be converted to a multi-objective linear problem if information about preferences of the consumption of inputs and the production of outputs are taken into account. Here in this study, data are not exact and are of interval kind. Moreover, the most preferred solutions with available information by interval additive models are sought. It has also been 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 bank branches in Iran are evaluated, and target settings and efficiency are compared with the original case and significant decisions are made.