[PDF] Top 20 Finding Outlier DMUs in Data Envelopment Analysis
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Finding Outlier DMUs in Data Envelopment Analysis
... 1081 attempt to detect outliers that are removed from the data cloud. Chen and Johnson [5] have proposed a unified model for detecting outliers by examining their effect on the boundaries of the convex hull ... See full document
8
Impact of Outliers in Data Envelopment Analysis
... Standard normal distribution is used more fre- quently in inferential statistics than any other theoretical probability distribution. The use of the term theoretical probability distribution in this context is based on ... See full document
14
5. Super Efficiency Analysis: An Application on The Efficiency of Programming Languages
... health. Data Envelopment Analysis (DEA) and Super Efficiency (SE) are widely used to measure this ...SE analysis for the 10 DMUs with full efficiency, these fully efficient DMUs ... See full document
9
New model for ranking DMUs in DDEA as a special case
... Dynamic Data Envelopment Analysis (DDEA) concept, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between consecutive ...of DMUs in DEA by ... See full document
6
Neutrosophic perspective on DEA
... Data Envelopment Analysis (DEA) is a linear programming for measuring the relative efficiencies of homogeneous decision making units (DMUs) without knowing production functions, just by ... See full document
7
An Approach to Identify and Evaluate Congestion in Data Envelopment Analysis
... homogeneous DMUs using multiple inputs to produce multiple ...performance analysis, in particular in DEA, the concept of congestion plays a seminal role in theory and ... See full document
10
How to select an epsilon to apply Kourosh and Arash model in data envelopment analysis
... Data Envelopment Analysis (DEA) was proposed by Charnes et al. (1978), and has been applied in many area of economics, management, industrial engineering, business, marketing and so on to measure the ... See full document
6
A data envelopment approach to support the bid/no-bid decision of smallholder farmers on public calls participation
... from Data Envelopment Analysis (DEA) to support the decision making of smallholder farmers, regarding which public calls they should choose to apply, considering the quantitative characteristics of ... See full document
7
RANKING EFFICIENT AND INEFFICIENT DECISION MAKING UNITS IN DATA ENVELOPMENT ANALYSIS
... different DMUs are peers to each other and through this benchmarking procedure full ranking is ...efficient DMUs is determined. The DMUs which have slack values of zero belong to this ... See full document
12
A Ranking Method of Extreme Efficient DMUs Using Super Efficiency Model
... Data envelopment analysis (DEA) is a non-parametric method for measuring efficiency of a set of Decision Making Units (DMUs) such as firms or a public sector agencies, first introduced by ... See full document
5
Assessing Energy Efficiency of Port Operations in China—A Case Study on Sustainable Development of Green Ports
... the finding of assessing energy efficiency of port operations in China based on the data from public domains by using the combination of Data Envelopment Analysis (DEA) and Panel ... See full document
6
A Data Envelopment Analysis Model with Triangular Intuitionistic Fuzzy Numbers
... In this paper, an extended model of DEA is proposed to handle performance evaluation problems under the TFINs environment. Because the existing arithmetic operations of TIFNs are deficient and cannot take into account ... See full document
12
The Most Revenue Efficiency with Price Uncertainty
... efficiency data envelopment analysis (RE-DEA) approach is considered for finding the most revenue efficient unit with price uncertainty in both optimistic and pessimistic ...all DMUs is ... See full document
18
A Review On: Finding Outlier Points On Real Dimensional Data Sets
... of data objects in unsupervised mode and to transform into high-dimensional ...dimensional data space to various nonparametric KNN- based detect anomaly detectors method with a part of a real life dataset ... See full document
6
Estimating right and left returns to scales in data envelopment analysis: A new approach
... So far, many methods have been presented to estimate RTS of DMUs in DEA. In this section, three common methods BCC, Färe et al., and Kerstens and Eechkaut are reviewed, respectively [3, 13, and 19]. It is ... See full document
16
Equity and efficiency of primary health care resource allocation in mainland China
... on data from early national yearbooks ...strapping data envelopment analysis to assess the effi- ciency and productivity of rural township hospitals in ...production analysis through ... See full document
12
Sensitivity Analysis and Finding the Stability Region with Adding DMUs in DEA
... Stability analysis in DEA with interval ...stability analysis in ...sensitivity analysis in ...(2010). Finding weak defining hyperplanes of PPS of the BCC ... See full document
8
Using Non-Archimedean DEA Models for Classification of DMUs: A New Algorithm
... in Data Envelopment Analysis, Journal of Applied Mathematics & Decision Science, ...in Data Envelopment Analysis: Evolution Development and Future Directions, Annals of ... See full document
11
Cost Efficiency Measures In Data Envelopment Analysis With Nonhomogeneous DMUs
... An important concept in applied production analysis of organizations which can be traced back to Farrell [8] and Debreu [7] is measuring the CE of the companies. Fare et al. [9] devel- oped these concepts into ... See full document
11
Sensitivity in ranking for perturbations of data in DEA
... Data envelopment analysis (DEA) is a mathematical programming technique to evaluate relative efficiency of decision making units (DMUs) with multiple input- ...inefficient DMUs. Hence, ... See full document
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