An Extension to Imprecise Data Envelopment Analysis
author
Abstract:
The standard data envelopment analysis (DEA) method assumes that the values for inputs and outputs are exact. While DEA assumes exact data, the existing imprecise DEA (IDEA) assumes that the values for some inputs and outputs are only known to lie within bounded intervals, and other data are known only up to an order. In many real applications of DEA, there are cases in which some of the input and output variables belong to bounded and discrete sets and the others are known to lie within bounded intervals. In this paper a new variety of imprecise data in the DEA has been faced. The proposed approach transforms a nonlinear DEA model to an equivalent linear programming problem. Upper and lower bounds of efficiency scores of operational units are defined. A real case of commercial banks is provided to illustrate the applicability of the approach.
similar resources
Data envelopment analysis for imprecise data in Buyer-Seller Relationship
In the environment of business‐to‐business e‐commerce, Buyers and sellers in mature industrial markets can turn single transactions into long-term beneficial relationships by a deeper understanding of the complex connection between the two and buyers and sellers are uncertain about their roles. A “must-do” for the sellers, in particular, is to understand patterns of investment and reward,...
full textData envelopment analysis with imprecise data
The conventional data envelopment analysis (DEA) measures the relative efficiencies of a set of decision making units (DMUs) with exact value of inputs and outputs. For imprecise data, i.e., mixtures of interval data and ordinal data, some methods have been developed to calculate the interval of the efficiency scores. This paper constructs a procedure to measure the efficiencies of DMUs with mi...
full textData envelopment scenario analysis with imprecise data
In the existing DEA models, we have a centralized decision maker (DM) who supervises all the operating units. In this paper, we solve a problem in which the centralized DM encounters limited or constant resources for total inputs or total outputs. We establish a DEA target model that solves and deals with such a situation. In our model, we consider the decrease of total input consumption and th...
full textMethods of Optimization in Imprecise Data Envelopment Analysis
In this paper imprecise target models has been proposed to investigate the relation between imprecise data envelopment analysis (IDEA) and mini-max reference point formulations. Through these models, the decision makers' preferences are involved in interactive trade-off analysis procedures in multiple objective linear programming with imprecise data. In addition, the gradient projection type...
full textWindow Network Data Envelopment Analysis: An Application to Investment Companies
In this study, the window network data envelopment analysis (WNDEA) model will be proposed, that is capable to be used in the presence of panel data. Additionally, the proposed model is applied to evaluate the dynamic efficiency of 5 investment companies in Tehran stock exchange during the period from 2013 to 2017.
full textSlacks-based measures of efficiency in imprecise data envelopment analysis: An approach based on data envelopment analysis with double frontiers
Article history: Received 17 April 2013 Received in revised form 30 August 2014 Accepted 26 October 2014 Available online 4 November 2014
full textMy Resources
Journal title
volume 16 issue 1
pages 117- 129
publication date 2019-04
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023