Grifell-Tatje and Lovell (1999) made a contribution to the literature by decomposing profit change in extended radial DEA framework into six mutually exclusive components. Their approach appears to suffer from two shortcomings. First, radial models do not achieve full efficiency when slacks are present, and therefore, the contributions of each of these components are grossly underestimated. Sec...

one of the major problems in data envelopment analysis (dea) is to determine the projection of inefficient decision making units (dmus) into the efficient frontier. in conventional dea models, inputs and outputs of inefficient dmus alter arbitrarily for reaching to the efficient frontier. nevertheless, sometimes the ability of dmus is defined and restricted. moreover, there are situations in th...

Bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosag...

data envelopment analysis (dea) measures the relative efficiency of a homogenous set of decision-making units (dmus) when multiple inputs and outputs are present. the deabased malmquist productivity index measuring the productivity change of dmus over time has proven itself to be a valid tool to compare group performance. however, in the previous models developed for this purpose, it was suppos...

data envelopment analysis (dea) is a mathematical programming method in operations research that can be used to distinguish between efficient and inefficient decision making units (dmus). however, the conventional dea models do not have the ability to rank the efficient dmus. this article suggests bootstrapping method for ranking measures of technical efficiency as calculated via non-radial mod...

the meshless local radial point interpolation (mlrpi) method is applied to examine the magnetohydrodynamic (mhd) ow of third grade uid in a porous medium. the uid saturates the porous space between the two boundaries. several limiting cases of fundamental ows can be obtained as the special cases of present analysis. the variations of pertinent parameters are addressed.