Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about efficient units. Super-efficiency DEA models can be used in ranking the performance of efficient DMUs. This research proposes a methodology to determine an Euclidean dist...

Economic, social and environmental dimensions are usually accepted as the three pillars of sustainable development. However, current methodologies for the assessment of the sustainability of product systems fail to cover economic, environmental and social parameters in a single combined approach. Even though the perfect methodology is still far off, this article attempts to provide insights on ...

Diethanolamine (DEA) is a common ingredient of personal care products. Dermal administration of DEA diminishes hepatic stores of the essential nutrient choline and alters brain development. We previously reported that 80 mg/kg/day of DEA during pregnancy in mice reduced neurogenesis and increased apoptosis in the fetal hippocampus. This study was designed to establish the dose-response relation...

The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...

A non-cancer inhalation chronic toxicity assessment for diethylamine (DEA, CAS number 109-89-7) was conducted by the Texas Commission on Environmental Quality. A chronic Reference Value (ReV) was determined based on a high-quality study conducted in mice and rats by the National Toxicology Program. Chronic inhalation ReVs are health-based exposure concentrations used in assessing health risks o...

In this study, we propose a new Artificial Neural Networks (ANN) training approach that closes the gap between ANN and Data Envelopment Analysis (DEA), and has the advantage of giving similar results to DEA and being easier to compute. Our method is based on extreme point selection in a bandwidth while determining the training set, and it gives better results than the traditional ANN approach. ...

The air quality index (AQI) can be described using different pollutant indices. Many investigators study the effect of stock prices and in field to show if there is a relationship between changing market concentration various pollutants. This aims find Saudi Tadawul All Share Index (TASI) multiple pollutants, including particulate matter (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur (SO2),...

Bankruptcy assessment provides valuable information for the governments and investors to base their decisions in order to prevent possible financial losses. Data envelopment analysis (DEA) has generally been used to assess relative efficiency of decision making units. Recently, several approaches have appeared that reformulate DEA as a bankruptcy prediction tool. However, only several studies h...

Data Envelopment Analysis (DEA) is an approach based on linear programming to assess the relative efficiency of peer Decision Making Units (DMUs). Typically, each DMU is free to choose the weights of the factors used in its evaluation. However, the evaluator’s preferences may not warrant so much freedom. Several approaches have been proposed to allow the incorporation of managerial preferences ...

Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency of a set of decision making units (DMUs), such as companies or public sector agencies. The main DEA models are only used for positive data. In recent years, some models have been presented to deal with negative data in DEA models. However, these models do not discriminate between efficient DMUs and only eval...