رتبه بندی DMU ها کارآمد با استفاده از ضریب تغییرات وزن در DEA
Subject Areas : Data Envelopment Analysis
Mojtaba Ziari
1
,
Shokrollah Ziari
2
1 - Member of young researchers and elite club, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran
2 - Department of Mathematics, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran
Keywords:
Abstract :
یکی از مشکلات آنالیز پوششی داده ها (DEA) مشکل تبعیض در میان واحدهای تصمیم گیری کارآمد (DMUs) است و بنابراین، منجر به تعداد زیادی DMU به عنوان کار آمد میشود. هدف اصلی این مقاله غلبه بر این ناتوانی است. یکی از روش ها برای رتبه بندیی DMU های کارآمد به حداقل رساندن ضریب تغییرات (CV) برای ورودی-خروجی وزن میباشد. در این مقاله، یک مدا غیر خطی برای رتبه بندی DMU کارآمد مبتنی بر به حداقل رساندن انحراف مطلق میانگین وزن ها معرفی کردیم و سپس ما مدل غیر خطی به یک فرم برنامخ ریزی خطی تبدیل کردیم.
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