Dea, contextdependent, interval data, interval attractiveness, interval progress. Efficiency score from data envelopment analysis can. In imprecise data envelopment analysis idea the data can be ordinal, interval and fuzzy. The econometric frontier approach dea data envelopment analysis allows the use of multiple inputsoutputs without imposing any functional form on data or making assumptions of inefficiency. Nevertheless, in some situations, determining the status of a performance measure is not easy. Data envelopment analysis dea is an important method of efficiency evaluation. Data envelopment analysis dea analysis model can evaluate the relative efficiency of a set of dmu decisionmaking units with the right values but cannot handle data that is not correct, for example data in the form of intervals. Interval data without sign restrictions in dea, applied.
Crossefficiency evaluation is one of the main aspects of research in the field of dea that has been applied in various fields. Vaez ghasemi department of industrial engineering mazandaran university of science and technology, babol, iran. Hybrid cluster and data envelopment analysis with interval data. Agrell 2014 interval data without sign restrictions in dea. However, because of imprecise data, reliable results from laboratory performance cannot be obtained easily. Existing approaches to data envelopment analysis focus mainly on the derivation of the efficiency of the individual decision. This is a cross sectional study in which the panel data were used in a 4 year period from 2007 to 2010.
A decision maker may be unable to compare and fully rank the efficiencies of different dmus that are calculated using. Several studies were conducted in order to prioritize efficient units and some useful models such as crossefficiency matrix cem were presented. This study aims to see how far the change with sensitivity analysis is so that the efficiency in data envelopment analysis for interval data remains guaranteed and to improve the efficiency of data envelopment analysis modeling in order to solve the. Dealing with interval scale data in data envelopment analysis. The application of the proposed dea models is shown with a real dataset. The frontier analyst manual describes these stages in detail. A bilevel multiobjective data envelopment analysis model for estimating profit and operational efficiency of bank branches. Pdf a data envelopment analysis model with interval data. Data envelope analysis dea is an approach to estimating the relative e ciency of decisionmaking units dmus. A generalized model for data envelopment analysis with interval.
The economic concept of returnstoscale rts has been intensively studied in the context of data envelopment analysis dea. Data envelopment analysis with nonhomogeneous dmus. Sustainable efficiency assessment of private diagnostic. Hybrid cluster and data envelopment analysis with interval. This ranges from general considerations through use of the correlation facility to help determine appropriate inputs and outputs. Dea crossefficiency evaluation and ranking method based on. This paper studies how to conduct efficiency assessment using data envelopment analysis dea in interval andor fuzzy inputoutput environments. The conventional dea models that are used for rts classification require welldefined and accurate data whereas in reality observations gathered from production systems may be characterised by intervals. Data envelopment analysis also can be used for the future programming of organizations and the response of the different policies, which is related to the target setting and resource allocation. Sensitivity analysis in data envelopment analysis for.
Ranking dmus by calculating the interval efficiency with a. Besides, a number of dea models with interval data have been developed and ranking dmus with such data was solved. This note introduces a method known as data envelopment analysis dea as a tool for computing priority measures for affected communities, sites or social groups. The performances of decisionmaking units dmus can be evaluated from two different.
Theory and applications proceedings of the 10th international conference on dea edited by. Read data envelopment analysis with missing values. In section 4 we will argue the envelopment analysis of missing data in interval case and also we will represent a method for. A generalized model for data envelopment analysis with interval data. This study aimed to measure the hospital productivity using data envelopment analysis dea technique and malmquist indices. Data envelopment analysis also can be used for the future programming of organizations and the response of the different policies, which is related to the target setting.
Iiec 2018 interval network data envelopment analysis model. Production considerations and resource sharing among business subunits. Data envelopment analysis is a widely used nonparametric technique to measure and evaluate the relative efficiency of similar decision making units. An interval dea approach, applied mathematics and computation on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Interval inefficiency assessment using data envelopment. Contextdependent data envelopment analysis with interval. In this study, we demonstrate the aggregation of environmental and economic supplier performance criteria into a single ecoefficiency index using data envelopment analysis dea for interval data. Abstract data envelopment analysis dea is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult.
The paper compares results given by simulation experiments and by optimization dea network models with interval data. Pdm contains the entire pdf information of all dmus by comparing with each other. Revised august 12, 2008 abstract data envelopment analysis dea is a data oriented, nonparametric method to evaluate relative. Efficiency measurement in data envelopment analysis with fuzzy data. This technique aims at attaining a relative efficiency for the similar decisionmaking units that have multiple inputs and outputs. Data envelopment analysis dea is a method to estimate the relative efficiency of decisionmaking units dmus performing similar tasks in a production system. Data envelope analysis dea is an approach to estimate the relative efficiency of decision making units dmus. Pdf sensitivity analysis in data envelopment analysis.
Pdf analysis of interval data envelopment efficiency model. Pdf statistical interval for data envelopment analysis journal of. Data envelopment analysis based on team reasoning xia. The contextdependent dea is introduced to measure the relative attractiveness of a particular dmu when compared to others. Interval efficiency measures in data envelopment analysis. Evaluating the performance and classifying the interval data in data envelopment analysis sohrab kordrostami1 standard data envelopment analysis dea supposes that measure status from point of view input or output is known. Rezaee, risk measurement and prioritization of auto parts manufacturing processes based on process failure analysis, interval data envelopment analysis and grey relational analysis, journal of intelligent manufacturing, vol. Pdf on aug 1, 2019, n h nasution and others published sensitivity analysis in data envelopment analysis for interval data find, read and cite all the research you need on researchgate.
Efficiency measures in data envelopment analysis with fuzzy hikari. Interval inefficiency assessment using data envelopment analysis. Pdf efficiency measurement in data envelopment analysis in the. Application the nonparametric analysis of interval data. Ghaderi, and maghsoudi 2008 proposed an integrated hierarchi cal approach based on data envelopment analysis dea, principal. Pdf sensitivity analysis in data envelopment analysis for. Pdf a generalized model for data envelopment analysis. Interval efficiency assessment using data envelopment. Twostage data envelopment analysis model with interval. Several studies have been conducted in order to prioritize e cient units, and some useful models, such as crosse ciency matrix cem, have been presented.
Dealing with interval scale data in data envelopment analysis merja halme tarja joro matti koivu 1. Analysis of interval data envelopment efficiency model. Dea has been used for both production and cost data. Data envelopment analysis dea is a nonparametric method for evaluating the relative efficiency of decision making units dmus on the basis of multiple inputs and outputs. It is attractive because it circumvents some of the issues in classic index formation altogether. Computing the efficiency interval of decision making units. Setting targets with interval data envelopment analysis. The purpose of this paper is to illustrate the use of interval network data envelopment analysis indea based on sustainable development indicators under uncertainty. Suppliers are prequalified according to this index and are allocated orders using multiple criteria models for single and multiple sourcing.
Pdf interval efficiency assessment using data envelopment. Efficiency measures in data envelopment analysis with fuzzy and ordinal data. A new pair ofinterval dea models is constructed on the basis ofinterval arithmetic, which differs from. Data envelopment analysis dea is a method in operations research, mainly in business engineering and economics, to measure productive efficiency in. Contextdependent data envelopment analysis with interval data. Dea crossefficiency evaluation and ranking method based. Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data article pdf available in neural computing and applications 306. Intervalvalued intuitionistic fuzzy envelopment analysis and. Oct 16, 2006 interval efficiency measures in data envelopment analysis with imprecise data interval efficiency measures in data envelopment analysis with imprecise data kao, chiang 20061016 00. Sbm and bipolar models in data envelopment analysis with. Cook, modeling data irregularities and structural complexities in data envelopment analysis, springer, boston, 2007 isbn. Dynamic superefficiency interval data envelopment analysis.
Pdf several methods have been proposed in data envelopment analysis dea for measuring efficiency in problems with interval or ordinal data. Data envelopment analysis of missing data in crisp and. Classifying inputs and outputs in interval data envelopment. Interval data envelopment analysis for intergroup data usage. Hence, the efficiency evaluation method of data envelopment analysis dea is used to explore the energy efficiency differences of 16 cities in the. Dynamic information is frequently unable to reflect the whole characteristic. In realworld situation, because of incomplete or nonobtainable information, the data input and. How data envelopment analysis works frontier analyst. The main aim of this paper is to analyse the nonparametric technique used in many studies of the hospitality sector. The present study is focused on intergroup data usage for a relative evaluation. Scale efficiency measurement in data envelopment analysis.
Introduction after its introduction charnes, cooper and rhodes, 1978 data envelopment analysis dea has gained wide popularity producing numerous applications reports as well as articles in scientific journals. Selecting inputs and outputs in data envelopment analysis by designing statistical experiments hiroshi morita necmi k. This methodology seeks to establish which firms of a sample determine the envelopment surface or. Pdf efficiency measurement in data envelopment analysis. Use of interval data envelopment analysis, goal programming. Data envelopment analysis dea is a nonparametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and. Hospitals productivity measurement using data envelopment. Scale efficiency measurement in data envelopment analysis with interval data. Malmquist productivity index on interval data in telecommunication firms, application of data envelopment analysis f. Basically, the traditional dea scheme calculates the best relative efficiency score i.
A data envelopment analysis model with interval data and undesirable output for combined cycle power plant performance assessment. This study aims to see how far the c hange with sensitivity analysis is so that the efficiency in data envelopment analysis fo r. Download selected publications of professor ali emrouznejad. Interval valued intuitionistic fuzzy envelopment analysis and preference fusion journal preproofs interval valued intuitionistic fuzzy envelopment analysis and preference fusion wei zhou, jin chen, bingqing ding, sun meng pii. Index terms data envelopment analysis, efficiency, interval data, twostage model. The use of dea data envelopment analysis methodology to. To evaluate the performance of decision making units dmus, data envelopment analysis dea was introduced. Interval inefficiency assessment using data envelopment analysis hosseinmonfared departement of mathemeatics, islamic azad university, germibranch, germi, iran corresponding author email.
It avoids predefined indicator normalization, weights and aggregation functions in favor. Efficiency measurement of ndea with interval data international. Among these models is the interval data envelopment analysis idea that was presented by wang et al 2005 6 and this is a new and appropriate technique for computing the efficiency in the uncertainty conditions. Interval data envelopment analysis data envelopment analysis is one of the nonparametric planning techniques widely used to measure the efficiency of similar units. Data envelopment analysis dea, developed by charnes. In this paper, the dea model is able to calculate the data efficiency of interval values. Journal preproofs intervalvalued intuitionistic fuzzy envelopment analysis and preference fusion wei zhou, jin chen, bingqing ding, sun meng pii. Cooper, park, and yu 1999, 2001 introduced the term imprecise data to. The various optimisation models of data envelopment analysis, such as input minimisation or output maximisation, are described in detail. Interval efficiency measures in data envelopment analysis with imprecise data interval efficiency measures in data envelopment analysis with imprecise data kao, chiang 20061016 00. A decision maker may be unable to compare and fully rank the efficiencies of different dmus that are. Data envelopment analysis dea is a linear programming methodology to measure the efficiency of multiple decisionmaking units dmus when the production process presents a structure of multiple inputs and outputs. Avkiran osaka university the university of queensland received march 19, 2008.
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