in this paper, using the value efficiency in dea pattern by taking decisive obtain. generally, non-radial model of ve and use proper weight to reduce input and output gain are the appropriate pattern. this paper introduces a multi-objective linear programming problem and efficiency determines the value of inefficient units. use interactive methods to solve molp proposed and applied. in conclusi...

data envelopment analysis (dea) is a method to evaluate the relative efficiency of decision making units (dmus). in this method, the issue has always been to determine a set of weights for each dmu which often caused many problems. since the dea models also have the multi-objective linear programming (molp) problems nature, a rational relationship can be established between molp and dea problem...

Data envelopment analysis (DEA) is a method to evaluate the relative efficiency of decision making units (DMUs). In this method, the issue has always been to determine a set of weights for each DMU which often caused many problems. Since the DEA models also have the multi-objective linear programming (MOLP) problems nature, a rational relationship can be established between MOLP and DEA problem...

  We suggest a method for finding the non-dominated points of the production possibility set (PPS) with variable returns to scale (VRS) technology in data envelopment analysis (DEA). We present a multiobjective linear programming (MOLP) problem whose feasible region is the same as the PPS under variable returns to scale for generating non-dominated points. We demonstrate that Pareto solutions o...

We study an extension of the Linear Multiple Choice Knapsack (LMCK) Problem that considers two criteria. The problem can be used to find the optimal allocation of an available resource to a group of disjoint sets of activities, while also ensuring that a certain balance on the resource amounts allocated to the activity sets is attained. The first criterion maximizes the profit incurred by the i...

In data envelopment analysis (DEA), mul-tiplier and envelopment CCR models eval-uate the decision-making units (DMUs) under optimal conditions. Therefore, the best prices are allocated to the inputs and outputs. Thus, if a given DMU was not efficient under optimal conditions, it would not be considered efficient by any other models. In the current study, using common weights in DEA, a number of...

generally, an engineering design problem has multiple objective functions. some of these problems can be formulated as multiobjective geometric programming models. on the other hand,often in the real world, coefficients of the objective functions are not known precisely. coefficients may be interpreted as fuzzy numbers, which lead to a multiobjective geometric programming with fuzzy parameters....

In this paper, using the Value Efficiency in DEA pattern by taking decisive obtain. Generally, non-radial model of VE and use proper weight to reduce input and output gain are the appropriate pattern. This paper introduces a multi-objective linear programming problem and efficiency determines the value of inefficient units. Use interactive methods to solve MOLP proposed and applied. In conclusi...