کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8052550 | 1519393 | 2016 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A note for weight restriction in the ARIII model based on correlation coefficients
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A note for weight restriction in the ARIII model based on correlation coefficients A note for weight restriction in the ARIII model based on correlation coefficients](/preview/png/8052550.png)
چکیده انگلیسی
Data envelopment analysis (DEA) is a very popular mathematical programming technique that is used to evaluate relative efficiency of decision-making units (DMUs). Beside its popularity, DEA has some drawbacks such as unrealistic input-output weights. Therefore, even if they are important, inputs or outputs of some DMUs can be assigned zero (0) or very small weights. Furthermore, because of this drawback, weights can take extreme high values, which cause unrealistic results. Mecit and Alp [1] described the restricted model to handle these problems using additional constraints that include correlation coefficients for weight restriction. However, in the case that negative correlations occur between variables, the constraints related with these negative correlations become useless and have no contribution in the restriction of assurance region (AR), which may result in no contribution of additional constraints in the ARIII model. This study proposes a modification by taking into account absolute values of correlation coefficients to handle the negative correlation problem of ARIII for some special cases.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 40, Issues 23â24, December 2016, Pages 10820-10827
Journal: Applied Mathematical Modelling - Volume 40, Issues 23â24, December 2016, Pages 10820-10827
نویسندگان
Mehmet Guray Unsal, H. Hasan Ãrkcü,