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

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Joe Zhuinly Soft Computing Methods that include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued logic, and related fields. There is not doubt about the relevance of eCommerce in our daily environ- ments and in the work carried out at m

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Envelopment DEA Models,.?13. This is because the best-practice (or efficient) frontiers can be viewed as exhibiting of various types of RTS. However, if the inputs and outputs are not related to a “production function”, RTS concept cannot be applied. Under such cases, RTS is merely used to refer to different shapes of frontiers.

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DEA Cross Efficiency,e are mainly two advantages for cross-evaluation method. It provides an ordering among DMUs and it eliminates unrealistic weight schemes without requiring the elicitation of weight restrictions from application area experts.

Serenity

Context-dependent Data Envelopment Analysis,e appears large when surrounded by small circles and small when surrounded by larger ones. Similarly a product may appear attractive against a background of less attractive alternatives and unattractive when compared to more attractive alternatives.

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Envelopment DEA Models,s are called envelopment models, because the identified best-practice frontier envelops all the observations (DMUs). The shapes of best-practice (or efficient) frontiers obtained from these models can be associated with the concept of Returns-to-Scale (RTS) which will be discussed in details in Chap