a characteristic of data envelopment analysis (dea) is to allow individual decision making units (dmus) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. this flexibility in selecting the weights, on the other hand, deters the comparison among dmus on a common base. for dealing with this difficulty and assessing all the dmus on the sam...

Online Food delivery, a specialized application of mobile crowdsourcing, has accelerated its popularity due to rushed urban lifestyle in recent times. The food delivery order assignment workers that maximizes the service qualities, such as maximization workers’ profit and minimization completion time enhance customer satisfaction at same time, is challenging problem. Existing works liter...

High fiber levels (165 g neutral detergent fibre (NDF)/kg DM) in Moringa oleifera leaf powder (MOLP) could limit its utilization as a nutraceutical source Jumbo quail diets. Pre-treating MOLP with exogenous fibrolytic multi-enzymes reduce the nutrient-encapsulating effect of non-starch polysaccharides and subsequently increase nutrient bioactive compound utilization. Thus, this study investigat...

Computing the exact ideal and nadir criterion values is a very ‎important subject in ‎multi-‎objective linear programming (MOLP) ‎problems‎‎. In fact‎, ‎these values define the ideal and nadir points as lower and ‎upper bounds on the nondominated points‎. ‎Whereas determining the ‎ideal point is an easy work‎, ‎because it is equivalent to optimize a ‎convex function (linear function) over a con...

The MOLP problem is considered together with a linear function  defined over the feasible set S  Rn . A procedure is proposed for estimating the minimal value of  over the efficient set E  S using the reference point method. Some extensions of the procedure are proposed, too, and a short discussion is added. Three numerical examples are presented.

a characteristic of data envelopment analysis (dea) is to allow individual decision making units (dmus) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. this flexibility in selecting the weights, on the other hand, deters the comparison among dmus on a common base. for dealing with this difficulty and assessing all the dmus on the sam...

It is generally accepted that Data Envelopment Analysis (DEA) is a method for indicating efficiency. The DEA method has many applications in the field of calculating the relative efficiency of Decision Making Units (DMU) in explicit input-output environments. Regarding imprecise data, several definitions of efficiency can be found. The aim of our work is showing an equivalence relation between ...