Traditional data envelopment analysis models split decision making units into two basic groups, efficient and inefficient. They are based on solving linear optimization problems and currently they represent very popular tool for efficiency and performance evaluation. Efficiency scores of inefficient units allows their ranking but efficient units cannot be ranked directly because of their maximu...

This study analyzes a barrier of developing Exchange named lack of information related to performance of organization. This paper proposes a combined approach to decision making that Examine companies financial performance and offers an optimal way to solve the problem of ranking and efficiency survey. FAHP-TOPSIS approach is used to rating companies and FAHP-DEA approach is used for efficiency...

Treebank annotation is a labor-intensive and time-consuming task. In this paper, we show that a simple statistical ranking model can significantly improve treebanking efficiency by prompting human annotators, well-trained in disambiguation tasks for treebanking but not necessarily grammar experts, to the most relevant linguistic disambiguation decisions. Experiments were carried out to evaluate...

-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...

Cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is used for evaluation and ranking Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). Unlike most existing DEA ranking models which can only rank a subset of DMUs, for example non-efficient or extreme efficient DMUs, cross efficiency can rank all DMUs, even non-extreme ones. However, sinc...

Data Envelopment Analysis (DEA) is a non-parametric technique which is based on mathematical programming for evaluating the efficiency of a set of Decision Making Units (DMUs). Throughout applications, managers encounter with stochastic data and the necessity of having a method that is able to evaluate efficiency and rank efficient units has been under consideration. In this paper considering t...

There is increasing interest in fully ranking the performance of organizational units with multiple inputs and outputs. We smooth the congenital differences of efficient and inefficient units. The concept of the secondary frontier is to eliminate the effects of super-efficiency and inefficiency. The pseudo secondary frontier is constructed to lie between the efficient and inefficient units. Lo...

Title of dissertation: LEARNING TO EFFICIENTLY RANK Lidan Wang, Doctor of Philosophy, 2012 Dissertation directed by: Associate Professor Jimmy Lin (primary advisor) Professor Douglas Oard (co-advisor) Department of Computer Science and College of Information Studies Web search engines allow users to find information on almost any topic imaginable. To be successful, a search engine must return r...

Data envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units‎. Unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal structure of these units‎. ‎Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage‎, ‎producin...

this paper studies the technical efficiency of 12 branches of saman bank over the period 1387-88, relating it to the composition of staff by sex, the ratio of fixed assets to total assets, the age of the branches and the geographic ranking in development indicators of the city where the branch is located in. data envelopment analysis is used to determine the efficiency of branches. the average ...