[PDF] Top 20 Incorporating value judgments in data envelopment analysis

... Constructing Suitable Estimates for DEA-Efficient UDMUs: Step iv Encouraging the Non-s Weighting of an Individual Output Encouraging the Non- g Weighting of an Individual Input Implement[r] ... See full document

... If data are symmetric as regards to the average, skewness coefficient equals zero and on basis of the sign of Sk , negative (positive) value, the frequency curve is respectively skewed to right (skewed to ... See full document

... customs value of seized goods the circulation of which is prohibited or re- stricted in the analysis could be ...the analysis would be added the criterion of the customs service’s success in ... See full document

... output value, profit and taxes, and retail sales). The data are all estimated and are thus imprecise and only known within the prescribed bounds, which are listed in Table ... See full document

... Capacity Utilization deals with a situation where some of the input values are fixed and cannot simply be changed, while others are flexibly changed. Therefore, we classify inputs into fixed and variable inputs and ... See full document

... Component Analysis is a technique of data ...the data (n x m - ...reduced data is shown in Table ...same analysis used in Section 5 and the corresponding result showed that the Self ... See full document

... the Value for Money (VfM) unit of the Department for Education and Skills (DfES)1 commissioned my supervisor, Professor Gautam Appa, to develop procedures for speeding up computation o f DEA models for large scale ... See full document

... output data of the evaluated DMUs are frequently vari- able over multiple time periods (time series data), and it is important to analyze the change of efficiency over ... See full document

... DEA approach differentiates decision-making units (DMUs) into two groups: efficient DMUs and inefficient DMUs. A DMU is efficient if it obtains the maximum score of ; otherwise, it is inefficient. DEA also provides targets for ... See full document

... of data reduction and thematic ...the value attributed to all these elements (evaluative ...build value judgments and the reasons they proffer to support their overall aesthetic ... See full document

... There are several parametric and non-parametric techniques to measure the efficiency in agricultural production systems. Parametric methods assume a particular functional form between inputs and output and estimate the ... See full document

... When the model was considered for the first time, input and output data were used in their original, unchanged values. Hence, the impact of structural characteristics of MWUs on the quantity of hazardous waste and ... See full document

... period data to a bell shape fuzzy data. Thetypes of data are numbers obtained from different periods whilethe results originated from distinctperiods may bedifferent and in this situation, it sounds ... See full document

... standard data envelopment analysis (DEA) method requires that the values for all inputs and outputs should be known ...bounded data, the DEA model becomes a non-linear programming problem and ... See full document

... distinct judgments or ...fuzzy data envelopment analysis (DEA) approach for FMEA, which does not require specifying or determining risk factor weights ... See full document

... Abstract: This paper investigates technical and economically efficiency of 62 organic and 62 conventional olive producing farms in Turkey. According to the study results; by using the crS model which is input and ... See full document

... Although the traditional fuzzy theory provides a powerful framework to characterize vagueness and uncertainty, it ignores the hesitation of DMs in the decision-making process. Also, this theory cannot deal with certain ... See full document

... current value and debt levels influence their ...conditional data envelopment analysis (DEA) is used in order to measure the effect of football clubs’ current value and debt levels on ... See full document

... obtained weights from model (3) or model (4) are not unique. As Despoits [6] expressed, the weights are different, depending on the particular software in use. Thus, the obtained measure in formulation (2) is not unique ... See full document

... There are a number of studies in which DEA has been applied for performance evaluation in health-care organizations. Grosskopf and Valdmanis [6] introduced a technique for assessing the relative performance of a sample ... See full document