نتایج جستجو برای Network DEA

تعداد نتایج: 470204  

Journal: :JORS 2012
A. Davoodi, H. Zhiani Rezai, R. Fallahnejad,

Data envelopment analysis (DEA), which is used to determine the efficiency of a decision-making unit (DMU), is able to recognize the amount of input congestion. Moreover, the relative importance of inputs and outputs can be incorporated into DEA models by weight restrictions. These restrictions or a priori weights are introduced by the decision maker and lead to changes in models and efficiency...

2015
Wenbin Liu, Zhongbao Zhou, Chaoqun Ma, Debin Liu, Wanfang Shen,

Data envelopment analysis (DEA) is a non-parametric approach for measuring the relative efficiencies of peer decision making units (DMUs). Many studies have examined DEA efficiencies of two-stage systems, where all the outputs from the first stage are the only inputs to the second stage. Although single-stage DEA models with undesirable input-outputs have been extensively studied, there still l...

Journal: :Knowl.-Based Syst. 2011
Mei-Chi Lai, Hao-Chen Huang, Wei-Kang Wang,

First developed by Xerox in 1979, benchmarking provides measurement and comparison to improve processes and achieve higher performance. Benchmarking has proven a powerful tool for total quality management and process improvement. Successful benchmarking implementation is based on an effective benchmarking tool. To effectively implement benchmarking processes, this work proposes an integrated fr...

Journal: :European Journal of Operational Research 2000
Joe Zhu,

The purpose of the current paper is to clarify the misunderstanding in using the constant returns to scale (CRS) model in data envelopment analysis (DEA) to estimate returns to scale (RTS) classi®cation. By illustrating the following two di€erent assumptions: (a) all decision making units (DMUs) are assumed to be compared to a CRS frontier in the CCR model, i.e., all DMUs are assumed to be capa...

Journal: :JDIM 2012
Bei Wang, Dongsheng Liu,

ABSTACT: The university teachers’ performance appraisals model decides the development of scientific research. And a set of scientific, reasonable and comprehensive model is the premise and foundation to evaluate it. First, this article analyses the domestic and foreign university teachers’ performance appraisals model. Second, it combines the current teachers’ performance appraisals theory and...

Journal: :JORS 2013
M. C. Gouveia, Luis C. Dias, Carlos Henggeler Antunes,

This study addresses the problem of finding the range of efficiency for each Decision Making Unit (DMU) considering uncertain data. Uncertainty in the DMU coefficients in each factor (input or output) is captured through interval coefficients (i.e., these are uncertain but bounded). A twophase additive Data Envelopment Analysis (DEA) model for performance evaluation is used, which is adapted to...

2004
Akihiro Hashimoto, De-An Wu,

This paper addresses comprehensive ranking systems determining an ordering of entities by aggregating quantitative data for multiple attributes. We propose a DEA-CP (Data Envelopment Analysis Compromise Programming) model for the comprehensive ranking, including preference voting (ranked voting) to rank candidates in terms of aggregate vote by rank for each candidate. Although the DEA-CP model ...

2008
A. A. Noura,

Abstract Data Envelopment Analysis (DEA) can be regarded as a useful management tool to the assessment evaluation of decision making units (DMUs) using multiple inputs to produce multiple outputs. In some cases, to evaluate the efficiency having imprecise inputs and outputs such as fuzzy or interval data the efficiency of DMUs won’t be exact as well. Most researches have been conducted were bas...

Journal: :Neural computation 2000
François Fleuret, Eric Brunet,

We introduce the differential efficiency algorithm, which partitions a perceptive space during unsupervised learning into categories and uses them to solve goal-planning and classification problems. This algorithm is inspired by a biological model of the cortex proposing the cortical column as an elementary unit. We validate the generality of this approach by testing it on four problems with co...

Journal: :JORS 2014
Guoliang Yang, Wanfang Shen, Daqun Zhang, Wenbin Liu,

In this paper, we discuss the relationship between multi-attribute utility theory and DEA models without explicit inputs (DEA-WEI), including dual models and some theoretical analysis of DEA-WEI models. We then propose generic DEA-WEI models with quadratic utility terms. Finally, we provide illustrative examples to show that DEA-WEI with suitable quadratic utility terms are able to reflect some...

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