رتبه بندی DMU ها کارآمد با استفاده از نرم بی نهایت و مجازی DMU ناکارا در DEA

Subject Areas : Data Envelopment Analysis

شکراله زیاری ¹ ( Department of Mathematics, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran )
مناف شریف زاده ² ( Department of Computer, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran )

Received: 2016-08-24 Accepted : 2016-10-12 Published : 2016-12-01

Keywords:

Abstract :

در بسیاری از موارد کاربردی، رتبه بندی واحدهای تصمیم گیری (DMUها) یک روش کار فنی بسیار مشکل ساز برای تصمیم گیرندگان در تحلیل پوششی داده ها (DEA) محسوب می شود، بویژه زمانی که DMUهای بسیار کارآمد وجود دارد. در چنین مواردی بسیاری از مدل های DEA ممکن است نمره کارآیی مشابهی را برای DMUهای مختلف دریافت کنند. از اینرو، توجه ها به تکنیک های رتبه بندی درحال افزایش است. هدف از این مقاله رتبه بندی DMUهای بسیار کارآمد در DEA براساس بهره برداری از روش leave-one out و به حداقل رساندن حداکثر فاصله بین DMU تحت ارزیابی و کارآیی مرزی در جهات ورودی و خروجی می باشد. روش پیشنهادی توانسته است تا بر فقدان عدم امکان پذیری و نامحدودی (بی کرانی) در برخی از روشهای رتبه بندی DEA غلبه کند.  

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