Aggregating measure scores is an important step in multiple criteria decision-making, determining the overall effectiveness from dissimilar measures. One of the most popular aggregating methods is Simple Additive Weighting (SAW), which assigns weights to measures based on subjective preference information, and sum weighted scores up. The quality of overall score is highly dependent on the quali...

Atrazine is an agricultural herbicide used in large quantities and consequently companied with its two degradation products, deethylatrazine (DEA), and deisopropylatrazine (DIA), are commonly detected in groundwater and surface water. The retention of these compounds in vadose zone is highly related to their adsorption to soils. Laboratory studies were conducted to determine the sorption behavi...

In transportation management the measure of systems efficiency is a key issue in order to verify the performances and propose the best countermeasure to achieve the prefixed goals. Many efforts have been made in this field to provide satisfactory answer to this problem. One of the most used methodologies is the Data Envelopment Analysis (DEA) that has been in many fields. The DEA technique is a...

Based on the panel data for 2005-2011, the paper conducts an empirical analysis on the efficiency and its determinants of China's service outsourcing industry by using the three-stage DEA technique. The empirical results show that the production efficiency of the service outsourcing industry in the year of 2011 is 0.803 from Super-DEA model and 0.573 from standard DEA model. The too-small scale...

BACKGROUND The Dog erythrocyte antigen (DEA) 1 blood group system was thought to contain types DEA 1.1 and 1.2 (and possibly 1.3 [A3]). However, DEA 1.2+ dogs are very rare and newer typing methods reveal varying degrees of DEA 1 positivity. OBJECTIVES To assess if variation in DEA 1 positivity is because of quantitative differences in surface antigen expression. To determine expression patte...

The assessment of software evolution in terms of quality poses significant challenges as different metrics have to be combined and normalized over the size of each examined version. Data Envelopment Analysis (DEA), a non-parametric technique from production economics, can offer a unified view of several design properties providing insight into global evolutionary trends. In this paper a set of ...

Performance measurement of various organizations has been addressed by different researchers using various approaches with varied levels and dimensions of consideration. This paper presents a unique approach of combining Data Envelopment Analysis and Analytic Hierarchy Process for evaluating the performance of an organization. The said model overcomes the limitation of DEA model as well as AHP ...

The advent of data envelopment analysis (DEA) enabled the measurement of efficiency to be extended to the case of multiple outputs. Prior to DEA we had the parametric approach based on multiple regression. We highlight some difficulties associated with these two approaches and present a hybrid which overcomes them whilst maintaining the respective advantages of each. This hybrid models the effi...

The changing economic conditions have challenged many financial institutions to search for more efficient and effective ways to assess emerging markets. Data Envelopment Analysis (DEA) is a widely used mathematical programming technique that compares the inputs and outputs of a set of homogenous Decision Making Units (DMUs) by evaluating their relative efficiency. In the conventional DEA model,...