[PDF] Top 20 Hybrid cluster and data envelopment analysis with interval data

... contrast, Data Mining (DM) techniques were applied, similar to cluster analysis, in order to investigate partitional data (DMUs) based on their ...with interval data (lower and ... See full document

... classic data envelopment analysis (DEA) with precise input and output values while, in the real world, the input and output values are imprecise in most of the ...congestion interval for ... See full document

... and Data envelopment analysis and a variety of approaches proposed in exposure with uncertain data have been ...on data envelopment ...“interval data ... See full document

... parametric Data Envelopment Analysis, which is based on mathematical linear programming and has been used several times in evaluating homogeneous decision making units (DMU’s) relative ...imprecise ... See full document

... Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of deci- sion making units (DMUs) on the basis of multiple inputs and ...the data (Input and ... See full document

... imprecise data due to uncertainty. In this paper, we developed interval DEA models for calculating the efficiency interval of DMUs with flexible measures and interval ...proposed ... See full document

... imprecise data such as fuzzy, ordinal and interval data in organizations the DEA models with exact data have been extended to imprecise ...whose data was imprecise. In imprecise ... See full document

... ordering data and then in 1997 they considered some inputs ...the interval data in DEA and presented a comprehensive form using the confidence interval concept and converted it to an ... See full document

... The analysis compares the relative efficiency of organizational “units” such as bank branches, hospitals, vehicles, shops and other cases where units perform similar execution of ...input/output data and ... See full document

... These weights are computed in such that a way the organization under evaluation is placed in the best light possible relation to the other units in the data set. The weights developed via DEA may not represent the ... See full document

... Hence, management knowledge is measurable science and if we cannot control it and management is impossible. We know, the major criterion performance is productivity and we should be able to measure it. Data ... See full document

... are interval values, it is impossible to calculate every ...of interval are defined as the pessimistic and optimistic values separately (Wang et ...the interval (a, b] or [a, b]. Since all the points ... See full document

... proposed interval network data envelopment analysis (INDEA) model for classification and ranking of investment companies (ICs) by considering internal structure and ...uncertain data ... See full document

... an interval, whose performance is definitely superior to any ...as interval risk, which combine the best and the worst relative risk in a reasonable manner to give an overall assessment of performances for ... See full document

... a hybrid model for supporting the suppliers’ selection and ...by Data Envelopment Analysis (DEA), since the regarded decision deals with uncertainly and ambiguity of data as well as ... See full document

... Suppose that have a set of n DMUs, which each DMU contains m inputs and s outputs. In this section, suppose that inputs and outputs all are integer, and extend the concept of capacity utilization for it. But for ... See full document

... by data envelopment analysis (DEA) and mathematical programming techniques by (Babazadeh et ...appropriate hybrid generation bioethanol supply chain (HGBSC) by using renewable source called ... See full document

... sensitivity analysis models for ecient and inecient units are reconsidered as a ...DEA analysis, one may want to know how sensitive these identications are, for possible vari- ations in the ...which ... See full document

... using data envelopment evaluation (DEA) which was produced with the aid of Charnes, Cooper, and Rhodes based on Farrell's ...(2004), data envelopment analysis offers exceptional ... See full document

... take into account uncertainty including chance-constrained (CC) DEA, imprecise DEA (IDEA), Monte Carlo simulation and bootstrapping. The authors have used DEA to ana- lyze various real-world situations involving, for ... See full document