Measurement of the Economical and Social Efficiency of OECD Countries by Means of data Envelopment Analysis and Artificial Neural Network
Dr. Ayhan Demirci, Asst. Prof. Emre Yakut, Asst. Prof. Murat Gündüz

Abstract
The most efficient Decision Making Units (DMU) are subject to alignment in a way to obtain an efficiency score of 1,00 by way of weighing each input and output separately with Data Envelopment Analysis (DEA), which is an extremely convenient efficiency measurement method for multiple inputs and outputs. Artificial Neural Networks (ANN), which are also based on human thinking system, are such systems that are used to accomplish one or more of operations of learning, relating, classification, generalization and optimization by way of making use of the data at hand in practice. While it is observed in the literature that efficiency analyses are generally applied to economical DMUs, economic and social efficiencies of 34 OECD countries in between 2006 and 2010 are measured in this study by way of using DEA and ANN methods.

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