Simulating Weights Restrictions in Data Envelopment Analysis by Means of Unobserved DMUs

1998 ◽  
Vol 44 (4) ◽  
pp. 586-594 ◽  
Author(s):  
E. Thanassoulis ◽  
R. Allen
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Weights Restrictions

scholarly journals Multicriteria approach to data envelopment analysis

2008 ◽  
Vol 28 (2) ◽  
pp. 231-242 ◽  
Author(s):  
Hélcio Vieira Junior
Keyword(s):  
Data Envelopment Analysis ◽  
Decision Maker ◽  
Decision Aids ◽  
Data Envelopment ◽  
Electre Iii ◽  
Multicriteria Decision ◽  
Dea Model ◽  
Unique Outcome ◽  
Weights Restrictions ◽  
Multicriteria Decision Aids

With the aim of making Data Envelopment Analysis (DEA) more acceptable to the managers' community, the Weights Restrictions approaches were born. They allow DEA to not dispose of any data and permit the Decision Maker (DM) to have some management over the method. The purpose of this paper is to suggest a Weights Restrictions DEA model that incorporates the DM preference. In order to perform that, we employed the MACBETH methodology as a tool to find out the bounds of the weights to be used in a Weights Restrictions approach named Virtual Weights Restrictions. Our proposal achieved an outcome that has an expressive correlation with three widely used decision-aids methodologies: the ELECTRE III, the SMART and the PROMETHEE I and II. In addition, our approach was able to join the most significant outcomes of all the above three Multicriteria decision-aids methodologies in one unique outcome.

scholarly journals Uniformization of frontiers in non-radial ZSG-DEA models: an application to airport revenues

2010 ◽  
Vol 30 (1) ◽  
pp. 175-193 ◽  
Author(s):  
Aline Bandeira de Mello Fonseca ◽  
João Carlos Correia Baptista Soares de Mello ◽  
Eliane Gonçalves Gomes ◽  
Lidia Angulo Meza
Keyword(s):  
Data Envelopment Analysis ◽  
Theoretical Approach ◽  
Approximate Algorithm ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Dea Models ◽  
Weights Restrictions ◽  
Zero Sum

We propose in this paper an extension to the Zero Sum Gains Data Envelopment Analysis model (ZSG-DEA). The proposed approach takes into account, simultaneously, non-radial projections and cone-ratio weights restrictions. We developed an iterative approximate algorithm to solve this model, as in the case study it is oriented only to the constant sum output. The theoretical approach is applied to the concession of discounts and surcharges problem, in terms of airport fees.

scholarly journals Introducing Weights Restrictions in Data Envelopment Analysis Models for Mutual Funds

Mathematics ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. 164 ◽  
Author(s):  
Antonella Basso ◽  
Stefania Funari
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Mutual Funds ◽  
Matrix Representation ◽  
Efficient Frontier ◽  
Data Envelopment ◽  
Weight Restrictions ◽  
Dea Efficiency ◽  
Weights Restrictions ◽  
Analysis Models

Data envelopment analysis has been applied in a number of papers to measure the performance of mutual funds, besides a great many applications on the more diverse fields of performance evaluation. The data envelopment analysis models proposed in the mutual funds literature do not generally set restrictions on the weights assigned to the input and output variables. In this paper, we study the effects of the introduction of different weight restrictions on the results of the performance evaluation of mutual funds. In addition, we provide a unified matrix representation for three widely used approaches on weight restrictions: virtual weight restrictions with constraints on all decision-making units (DMUs) (on all funds); virtual weight restrictions with constraints only on the target unit; assurance regions. Using the unified matrix representation of the weights constraints, we formulate the data envelopment analysis (DEA ) efficiency model and express the efficient frontier in a unified way for the different weight restrictions considered. We investigate the effects of the different weight restrictions on the performance evaluation by means of an empirical application on a set of European mutual funds. Moreover, we study the behaviour of the fund performance scores as the restrictions on the weights become increasingly strict.

Performance measurement in data envelopment analysis without slacks: an application to electricity distribution companies

2018 ◽  
Vol 52 (4-5) ◽  
pp. 1069-1085
Author(s):  
Azam Pourhabib ◽  
Sohrab Kordrostami ◽  
Alireza Amirteimoori ◽  
Reza Kazemi Matin
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Measurement ◽  
Reference Points ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Electricity Distribution ◽  
Input Output ◽  
Target Setting ◽  
Dea Models ◽  
Weights Restrictions

In performance measurement of the firms using tools such as data envelopment analysis (DEA) models, weak efficient units are almost appeared as reference points in the models. To avoid zero weights or equivalently non-zero slacks in DEA assessment, weights restrictions are used frequently. In DEA literature, two-stage procedures are developed to deal with non-zero slacks based on restricting input/output weights in multiplier formulating the CCR DEA model. In this paper, a single-stage approach for efficiency evaluation is developed to ensure zero slacks in target setting and avoid weights dissimilarity. A real case on electricity distribution companies in Iran has been given to demonstrate the applicability of the proposed approach.

Data Envelopment Analysis Theory, Methodology and Applications

1997 ◽  
Vol 48 (3) ◽  
pp. 332-333 ◽  
Author(s):  
A Charnes ◽  
W Cooper ◽  
A Y Lewin ◽  
L M Seiford
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Analysis Theory
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