نتایج جستجو برای: Common weight DEA

تعداد نتایج: 1015378  

پایان نامه :دانشگاه تربیت معلم - تهران - دانشکده علوم ریاضی و مهندسی کامپیوتر 1389

تحلیل پوششی داده ها به عنوان ابزاری مناسب برای اندازه گیری کارایی واحدهای تصمیم گیرنده در آمده است. از جمله کاربردهای انواع کارایی محاسبه و اندازه گیری بهره وری واحدهای تصمیم گیرنده می باشند. اندیس مالم کوییست رایج، مدور نیست. در این پایان نامه به بیان اندیس مالم کوییست ارایه شده توسط پورتلا و تاناسولیس برای تغییر بهره وری در سرتاسر زمان با خاصیت مدور می پردازیم (a circular meta-malmquist idex ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - دانشکده زیست شناسی 1388

abstract chickpea is weak in competition of weeds that damages to it at between 40 t0 60 percent. kermanshah province is one of the most important region for chickpea fields in iran. for these reosons, weed management is necessary in this crop. in order to evaluate of herbicides and stubble control on broad leave weeds control in chickpea. experiment was conducted in agricultural research stat...

Journal: :international journal of data envelopment analysis 2014
m. zangane

there are several methods to ranking dmus in data envelopment analysis (dea) and candidates in voting system. this paper proposes a new two phases method based on dea’s concepts. the first phase presents an aspiration rank for each candidate and second phase propose final ranking.

Journal: :European Journal of Operational Research 2003
Tsuneshi Obata Hiroaki Ishii

Ranked voting data arise when voters select and rank more than one candidate with an order of preference. Cook et al.[1] introduced data envelopment analysis (DEA) to analyze ranked voting data. Obata et al.[2] proposed a new method that did not use information obtained from inefficient candidates to discriminate efficient candidates. Liu et al.[3] ranked efficient DMUs on the DEA frontier with...

2011
Farhad Hosseinzadeh Lotfi Masomeh Khanmohammadi

Ranked voting data arise when voters select and rank more than one candidate with an order of preference. Cook et al.[1] introduced data envelopment analysis (DEA) to analyze ranked voting data. Obata et al.[2] proposed a new method that did not use information obtained from inefficient candidates to discriminate efficient candidates. Liu et al.[3] ranked efficient DMUs on the DEA frontier with...

Journal: :Entropy 2014
Xiao-Guang Qi Bo Guo

Data Envelopment Analysis (DEA) is a non-parametric method for evaluating the efficiency of Decision Making Units (DMUs) with multiple inputs and outputs. In the traditional DEA models, the DMU is allowed to use its most favorable multiplier weights to maximize its efficiency. There is usually more than one efficient DMU which cannot be further discriminated. Evaluating DMUs with different mult...

Journal: :Expert Syst. Appl. 2011
Ching-Kuo Wei Liang-Chih Chen Rong-Kwei Li Chih-Hung Tsai

Because of the unreasonable and unnecessary weight restriction assumption, a barely noticeable deficiency in pseudo-inefficiency occurs at times when applying a CCR model. The CCR was the first model designed for Data Envelopment Analysis (DEA); it remains its most popular model. To detect this type of unobvious deficiency, this study compared the following: the efficiency score and optimal wei...

Journal: :international journal of data envelopment analysis 2014
m. nazari m.r. mozaffari j. gerami

in data envelopment analyze (dea) the scale efficiency in the input-oriented ccr model is less than or equal to the scale efficiency in dea based on the fractional analysis (dea-r). also, the scale efficiency in case of multiple inputs and one output and vice versa the scale efficiencies are equal in dea and dea-r. in this paper, first, dea-r model with weight restrictions when there is relativ...

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