Titlebook: Quantitative Models for Performance Evaluation and Benchmarking; Data Envelopment Ana Joe Zhu Book 2014Latest edition Springer Internationa

ensemble

DEA Cross Efficiency,nd its nature of self-evaluation have been criticized. The cross efficiency method is developed as a DEA extension to rank DMUs with the main idea being to use DEA to do peer evaluation, rather than in pure self-evaluation mode. Cross efficiency has been further investigated by Doyle and Green. Ther

招致

Slack-Based DEA Models,ed DEA models consider the possible (proportional) output augmentations while keeping the current levels of inputs. Charnes et al. develop an additive DEA model which considers possible input decreases as well as output increases simultaneously. The additive model is based upon input and output slac

forebear

腐烂

寡头政治

Modeling Undesirable Measures, One wants to reduce the number of defects to improve the performance. If inefficiency exists in production processes where final products are manufactured with a production of wastes and pollutants, the outputs of wastes and pollutants are undesirable and should be reduced to improve the performanc

本能

Context-dependent Data Envelopment Analysis,. The inefficiency scores change only if the best-practice frontier is altered. i.e., the performance of DMUs depends only on the identified best-practice frontier. In contrast, researchers of the consumer choice theory point out that consumer choice is often influenced by the context. e.g., a circl

冒烟

我正派

Sensitivity Analysis,vity studies focus on the sensitivity of DEA results to the variable and model selection. Most of the DEA sensitivity analysis studies focus on the misspecification of efficiency classification of a test DMU. However, note that DEA is an extremal method in the sense that all extreme points are chara

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FUSE