Today, all countries publish many scientific studies in order to make progress a sense and plan for the future. Many criteria, such as impact factor, citation count, article score, have been developed measure, compare, rank quality of journals which these are published. These criteria used purposes academic promotion, hiring, publication support, project scholarships. It is extremely important ...

the motivation of this paper is to propose such equitable method for ranking all decision making units (dmus) in dynamic data envelopment analysis (ddea) framework. as far as we are aware there is not more studies in dynamic dea literature. what's more, in such cases the best operating unit is important to be sampled for the others in under evaluated time periods. however, in this special conce...

-Organizations need to work on productivity improvement in order to enhance their operational performances. A number of works have taken efforts in efficiency evaluation and ranking using analytic methods such as the data envelopment analysis (DEA). However, few works have highlighted the relationship among significant factors that affect productivity. Performing efficiency evaluation and ranki...

data envelopment analysis (dea) technique now widely use for efficiency evaluation of a set of decision making units (dmus). as regards of the necessity for ranking efficient units different dea models presented each of which has advantages and rank efficient units from special aspects. note that all the existing ranking models have disadvantages, as well and there is not a model in which all t...

Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. One of the interesting research subjects is to discriminate between efficient DMUs. The aim of this paper is ranking all efficient (extreme and non-ex...

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. Crisp input and output data are fundamentally indispensable in conventional DEA. However, the observed values of the input and output data in real-world problems are sometimes imprecise or vague. Many researchers ...

this paper uses integrated data envelopment analysis (dea) models to rank all extreme and non-extreme efficient decision making units (dmus) and then applies integrated dea ranking method as a criterion to modify genetic algorithm (ga) for finding pareto optimal solutions of a multi objective programming (mop) problem. the researchers have used ranking method as a shortcut way to modify ga to d...