The main difference between conventional data envelopment analysis (DEA) and network (NDEA) lies in the internal structure of a decision-making unit (DMU). Most existing NDEA methodologies neglect to address issue incorporating influence intermediate, directly objective function. To overcome this shortcoming, paper, based on feature SBM model, researcher is setting an NSBM model for evaluating ...

Small accommodation businesses dominate the rural hospitality industry, producing simple or complex tourist products and services in order to be sustainable competitive. In this paper, a two-stage data envelopment analysis (DEA) model was applied representative sample of 151 small non-coastal areas region Central Macedonia Greece. first stage, DEA-bootstrapping is estimate point interval effici...

Amiodarone (AMD)-induced pulmonary toxicity (AIPT) is the most life-threatening side-effect of AMD treatment. N-Monodesethylamiodarone (DEA), an active metabolite of AMD, also exhibits cytotoxicity and tends to accumulate in the lung more intensively than AMD. In this study, we characterized the mechanism of DEA accumulation using A549 cells as a model of the alveolar epithelium. Typical ATP-de...

In this paper, we discuss the relationship between multi-attribute utility theory and DEA models without explicit inputs (DEA-WEI), including dual models and some theoretical analysis of DEA-WEI models. We then propose generic DEA-WEI models with quadratic utility terms. Finally, we provide illustrative examples to show that DEA-WEI with suitable quadratic utility terms are able to reflect some...

In Data Envelopment Analysis (DEA), a variety of approaches have been used in the context single-stage and basic serial two-stage systems to attain fairness evaluation decision-making units (DMUs). Little work, however, has done address this challenge generalised structure featuring additional inputs second stage proportion first-stage outputs as final outputs. paper, we argue that context, is ...