Common weights
Ranking of units by anti-ideal DMU with common weights
... the common set of weights ...the common weights from the angle of efficiency fitting and consider the traditional DEA efficiencies as their target efficiencies to be ...a ...
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Measuring congestion in data envelopment analysis with common weights
... considers common to all ...generating common weights in data to scale assumptions about the nature of the output variables (VRS) are as follows: ...
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Common weights for the evaluation of decision-making units with nonlinear virtual inputs and outputs
... a common weight model with nonlinear virtual inputs/outputs will be presented, which is the idea of the combination of common weights models and nonlinear virtual inputs/outputs ...and common ...
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A nonlinear model for common weights set identification in network Data Envelopment Analysis
... unequal weights of the criteria when decision- making units are ...using common weights of the each input/output in all decision making units ...unequal weights of the criteria, exist for ...
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A Goal Programming Method for Finding Common Weights in DEA with an Improved Discriminating Power for Efficiency
... We know that, ( θ * p x p , y p ) is efficient. Therefore, (u,v) is associated with the gradient vector of a supporting hyperplane. Furthermore, this supporting hyperplane must support the PPS at some extreme efficient ...
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A comprehensive common weights data envelopment analysis model: Ideal and anti-ideal virtual decision making units approach
... desired weights in order to maximize its relative efficiency ...the weights of inputs and outputs may vary during different ...different weights, which is assumed as one of the shortages of the ...
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Finding Common Weights in Two-Stage Network DEA
... a common perspective on the evaluation of decision- making units, a number of models for determining common weights in data envelopment analysis were ...
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A Multi objective model for supplier evaluation and selection in the presence of both cardinal and imprecise data
... The results of applying model (21) are shown in columns 5 and 6 of Table 1, which were obtained by Saen [14]. Seven out of 18 suppliers are received efficiency score of 1, i.e., supplier numbers 4, 6, 8, 9, 11, 14 and ...
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Designing a new multi-objective fuzzy stochastic DEA model in a dynamic environment to estimate efficiency of decision making units (Case Study: An Iranian Petroleum Company)
... a being positive numbers for each i ( i=1,..,m ), r ( r=1,..,s ) and l ( l=1,..,L ) which are predicted by decision maker for the next financial period to predict the efficiency of each DMU. In this case, the objective ...
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Evaluation of Efficiency in DEA Models Using a Common Set of Weights
... deriving common weights ...a common set of weights means that only one frontier hyperplane generates a compromised solution; all DMUs lie beneath the hyperplane and agree with the final ...
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Learning Permutations with Exponential Weights
... The “Follow the Perturbed Leader” (FPL) algorithm of Kalai and Vempala (2005) is an alternate on-line prediction algorithm that works in a very general setting. It adds random perturbations to the total losses of the ...
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Weights in block iterative methods
... treatment planning, and problems of image restoration. However, from such real-world applications, the resulting convex feasibility problem is often huge. Since direct factorization methods are inecient for such a ...
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Generators and weights of polynomial codes
... Since the radical ideals have such good code properties, it makes sense to answer the following question: When does the radical have a single generator polynomial?. Of course, if the rad[r] ...
10
Ranking Network-Structured Decision-Making Units and Its Application in Bank Branches
... To assess n DMUs, Model (2.1) is solved n times. Since in Model (2.1) weights are highly flexible in efficiency calculations, if this model considers a unit inefficient, then that unit is definitely ineffi- cient. ...
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Guidance for use of weights: an analysis of different types of weights and their implications when using SAS PROCs
... of weights, such as the classic PROC MEANS, PROC GLM and PROC ...data, weights reflecting sampling and non-response are an inte- gral part of these ...A common question is which SAS PROC to use when ...
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No Permanent Friends or Enemies: Tracking Relationships between Nations from News
... more common than predicates (see Table 1) and not all of them are meaningful for understanding in- ternational relations, we employ a weighted sum of noun ...attention weights, since the same noun can be ...
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Unimodal density estimation using Bernstein polynomials
... We demonstrate the performance of our density estimation technique through multiple sim- ulation studies. We first assess its performance estimating densities with three common supports: (−∞, ∞), [0, ∞), and [−1, ...
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On weights of 2-repeated bursts
... on weights of 2-repeated bursts of length b(fixed) are derived and some combinatorial results with weight constraint for 2-repeated bursts of length b(fixed) are also ...
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Index Terms - Grey Numbers, Multi-Criteria Decision Making Methods, subjective weights, objective weights.
... SOWIA method was used in this study to determine the weight of each criterion. This method based on a combination of objective and subjective weights that gives its superiority over the subjective and objective ...
9
THE DEVELOPMENT OF PREMATURELY BORN CHILDREN WITH BIRTH WEIGHTS OR MINIMAL POSTNATAL WEIGHTS OF 1,000 GRAMS OR LESS
... The apparent difference in race (ordy 1 of 10 non-white children having an I.Q. above 100) is probably related to socio- economic status, since only one non-white child was of a family w[r] ...
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