[PDF] Top 20 Methods of Optimization in Imprecise Data Envelopment Analysis

... There exist some studies about the similarities between DEA and multiple criteria decision analysis (MCDA) generally and MOLP in particular. Doyle and Green [2] indicate that DEA is an MCDA method itself. Golany ... See full document

... these methods is the non- parametric Data Envelopment Analysis, which is based on mathematical linear programming and has been used several times in evaluating homogeneous decision making ... See full document

... Data envelopment analysis is a mathematical programming technique which is used to compute relative efficiency, rank, return to scale, benchmarks and other applications of Decision Making Units ... See full document

... Built upon the earlier work of Farrell (1957), DEA is a well established methodology to evaluate the relative efficiencies of a set of comparable entities by some specific mathematical programming models. These entities, ... See full document

... different methods [39]; and (d) defuzzification approaches that try to first convert fuzzy values of inputs and outputs into crisp values then to solve the resulting DEA crisp model ... See full document

... Abstract: Data envelopment analysis is a non-parametric linear programming method capable of the efficiency evaluation of decision making units ...several methods have been developed with the ... See full document

... the Data Envelopment Analysis in order to calculate the technical and scale efficiency scores for a sample of 41 Italian public hospitals during the period 2010-2013; second, we investigated the ... See full document

... where E is a set of efficient units obtained from models (3) and (4). The set of last constraints related to efficient units. Because, it is possible, there are some inefficient units in the previous methods that ... See full document

... the data dimension using Principal Component Technique (which has been established as a failure), other measures of influence can be devised for each Input and Output variables and there by the data volume ... See full document

... an imprecise data envelopment analysis (DEA) framework for evaluating the performance of state hospitals located in 26 districts of Istanbul, the largest city of Turkey that is also listed ... See full document

... Consider a performance measurement problem of manu- facturing industry, in which there are eight manufactur- ing industries from different cities (DMUs) participating in the evaluation, each consuming two inputs (Labor ... See full document

... negative data using OWA operator weights. The data used for this methodology is from 20 Iranian stock ...evaluation methods, Data Envelopment Analysis (DEA) is one of the best ... See full document

... the nature of the returns to scale of the production frontier, the elasticity of substitution of the inputs and outputs, the level of random noise in the data, etc... As it is not possib[r] ... See full document

... and Data Envelopment Analysis (DEA) were employed. Data were collected from the farmers using a face–to–face questionnaire performed in September– December 2014 ...two methods; so, if ... See full document

... the methods and models for eva- luating the efficiency of customs services, taking into account all the relevant segments of their ...operations. Data envelopment analysis is suitable for ... See full document

... Under data envelopment analysis (DEA), productivity is defined as the ratio between efficiency and is measured by MPI for the same decision making unit (DMU) in two different ...output data as ... See full document

... of post office counters and delivery services. Pjevcevic and Vukadinovic (2010) measured efficiency of bulk cargo handling at river port. Papers that have been published on solving fuzzy DEA problems can be categorized ... See full document

... convert imprecise data to exact data and use them to have more effective ...and imprecise data are used as a DEA method to evaluate ... See full document

... Recently, Farzipoor Saen [Journal of the Operational Research Society, 60(11), 1575–1582 (2009)] proposed a method based on data envelopment analysis to identify optimistic efficient suppliers in ... See full document

... The scope of this research is Linear Programming (LP), DEA, concepts of efficiency, and the software to solve linear and non-linear programming models such as Microsoft Excel Solver and Lingo software. In addition, in ... See full document