J. Pourmahmoud Gazijahani
Azarbayjan Shahid Madani University, Department of Science, Tabriz, Iran.
[ 1 ] - On the relative efficiency in general network structures
Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Making Units (DMUs). In DEA, weights are assigned to inputs and outputs and the absolute eciency score is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. In traditional DEA models, this measure is also equivalent with relative eciency score which evaluates DMUs in compar...
[ 2 ] - A novel radial super-efficiency DEA model handling negative data
Super-efficiency model in the presence of negative data is a relatively neglected issue in the DEA field. The existing super-efficiency models have some shortcomings in practice. In this paper, a novel VRS radial super-efficiency DEA model based on Directional Distance Function (DDF) is proposed to provide a complete ranking order of units (including efficient and inefficient ones). The propose...
[ 3 ] - مدلسازی خطی برای تعیین مجموعه وزنهای مشترک در ساختار شبکه ای
In traditional DEA models, one faces the challenge of zero and unequal weights for evaluating each decision-making unit (DMU). On the other hand, for measuring the efficiency in these models, the system is considered as a black box, disregarding its internal processes. One of the strategies applied to deal with this problem is to use common weights of each input/output in all DMUs. In practice,...
[ 4 ] - A Novel Approach to Evaluate the Road Safety Index: A Case Study in the Roads of East Azerbaijan Province in Iran
Road safety index is an important indicator that has been recently introduced as a useful tool to measure the quality of life in many countries and cities. Road safety index is a complex index and it has at least three main components, including road user behavior, vehicle safety, and road infrastructure effects. Many researchers have selected studying road performance from road safety index pe...
[ 5 ] - A Review Of DEA Approaches For Health Supply Chain
More than 200 papers have been published in the last 20 years on the topic of health supply chains (HSC). Looking at the research methodologies employed, less than 15 papers apply data envelopment analysis (DEA) models. This is in contrast to, for example, A Network Data Envelopment Analysis (NDEA) Model for Supply Chain Performance Evaluation where several reviews on respective NDEA models hav...
[ 6 ] - Assessing the undesirable cost imposed on the system with fuzzy DEA
In some companies, undesirable costs are imposed for provision of services. It is required that current outputs of decision making units are produced at minimal undesirable cost. In this paper, a new method is proposed for evaluating the undesirable cost imposed on the units. Moreover, data is considered in fuzzy number form, due to the observed input-output data are sometimes imprecise in real...
[ 7 ] - Hybrid Method of Logistic Regression and Data Envelopment Analysis for Event Prediction: A Case Study (Stroke Disease)
Abstract Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns. Many mathematical modeling has been developed and used for prediction, and in some cases, they have been found to be very strong and reliable. This paper studies different mathematical and statistical approaches for events prediction. The ...
[ 8 ] - Calculating cost efficiency using prices dependent on time via approximate method
In the traditional cost-efficiency model, the information about each decision unit includes inputs, outputs, and the input prices are fixed and specific. In practice, the price of the inputs often fluctuates at different times, and these prices for the decision-making unit are time-dependent. By the traditional method, the efficiency of decision units is impossible in the presence of time-depen...
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