The problem of utilizing undesirable (bad) outputs in DEA models often need replacing the assumption of free disposability of outputs by weak disposability of outputs. The Kuosmanen technology is the only correct representation of the fully convex technology exhibiting weak disposability of bad and good outputs. Also, there are some specific features of non-radial data envelopment analysis (DEA...

Data Envelopment Analysis (DEA) is an appropriate tool for estimating various types of efficiency including Cost Efficiency (CE). Identifying and identifying inefficiency resources plays an important role in analyzing unit performance in order to plan for improving the status of Decision Making Units (DMUs). Now , if information on the inputs and outputs and pricing information of the evaluated...

Detecting the weak and strong congestion statuses of decision-making units (DMUs) measuring them via data envelopment analysis (DEA) is an important issue that has been discussed in several studies with different views. The efficiency frontier a concept derived from underlying production possibility set (PPS), related to them. Still, researchers have defined for each DMU many previous ignored l...

One of the main important issues in Data Envelopment Analysis (DEA) is to recognize set anchor points which subset extreme efficient production possibility (PPS). An point an located on intersection strong frontier and weak frontier. In other word, each delineate from So, if a decision making unit (DMU) point, then there at least one supporting hyperplane whose gradient vector has some zero com...

In this paper, we consider the production possibility set with n production units such that the following four principles that governs: inclusion observations, conceivability, immensity and convexity. Our goal is to estimate the output of a same and new production unit with existing production possibility and amount of input is specified. So, initially we find the interval changes of each input...

In this paper, an extension of the generalized data envelopment analysis (GDEA) model has been introduced. In this generalization different cases of production possibility set (PPS) of the extended generalized data envelopment analysis (EGDEA) model are investigated. The proposed EGDEA model is used to evaluate decision’s making units (DMUs) either with full convexity assumption imposed on inpu...

this article will address the extension of super efficiency method to rank the non-extreme efficient decision making units. many methodologies have introduced methods that can rank efficient units, amongst which, the super efficiency method due to its ability to provide meaningful geometrical as well as economic analyses has a significant place. but the common problem with all the super efficie...

Data Envelopment Analysis (DEA) is a mathematical programming-based approach for evaluates the relative efficiency of a set of DMUs (Decision Making Units). The relative efficiency of a DMU is the result of comparing the inputs and outputs of the DMU and those of other DMUs in the PPS (Production Possibility Set). Also, in Data Envelopment Analysis various models have been developed in order to...

Data envelopment analysis (DEA) is a mathematical programming - based technique to evaluate the performance of homogeneous group decision-making units (DMUs) with multiple inputs and outputs. One DEA applications involves aggregating input resources reallocating them create efficient DMUs.The present study employs centralized resource allocation (CRA) approach develop model for creating new DMU...