Data envelopment analysis (DEA) is an efficient tool for evaluating mutual fund performance. It is important for investors to select the best funds for investment. In evaluation of mutual fund performance, besides quantitative elements, there are many qualitative elements that are of importance to the investors. In this paper, value efficiency analysis (VEA) was used in mutual funds performance...

the paper deals with data envelopment analysis (dea) and artificial neural network (ann). we believe that solving for the dea efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. in this paper, a new neural network model is used to estimate the inefficiency of dmus in large datasets.

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...

Mathematical programming is one of the areas to which fuq set theoq has been applied extensively. Primarily based on Bellman and Zadeh’s model of decision in fuzzy environments, models have been suggested which allow flexibility in constraints and nonlinear programming. Data envelopment analysis (DEA) is a method of evaluating relative efJiciencies for a group of similar units based on an efici...

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...

This study utilizes the Data Envelopment Efficiency (DEA) model to assess input–output efficiency from two perspectives. First, not considering the distribution of interval data, we introduce an adjusted parameter to transform interval data to determination data. Second, by contrast, we take into account the distribution characteristics of interval data and test the DEA model with interval data...

Increase in competition level and unclear demand in the market have made organizations to utilize scientific models and techniques for optimizing their management process. Among the main processes effective on organizations performance is to select appropriate providers. The following research tries to present an optimized solution for providers, assessment and selection. The study uses data en...

As the most important responsibility of purchasing management, the problem of supplier evaluation and selection has always received a great deal of attention from practitioners and researchers. This management decision is a challenge due to the complexity and various criteria involved. Many methods based on data envelopment analysis(DEA) emerged, especially the cross efficiency. But it exists s...

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...

We examined the ability of nitric oxide (NO) to stimulate the ADP-ribosylation of proteins from the mouse macrophage cell line ANA-1. To demonstrate a specific effect of NO, we used a novel compound named diethylamine dinitric oxide (DEA/NO; 1,1-diethyl-2-hydroxy-2-nitrosohydrazine, sodium salt; [Et2NN(O)NO]Na), which releases NO in aqueous solution at neutral pH. DEA/NO stimulated the ADP-ribo...