An integrated fuzzy AHP/DEA approach for performance evaluation of territorial units in Turkey

Due to the differences between regions and sub-regions in the countries, some problems come out especially in economic and social life. The issue of differences of regions has been widely implemented to evaluate the economic performance of Turkey in many disciplines. The objective of this paper is to evaluate the efficiency of 26 sub-regions of NUTS-2 classification using integration Fuzzy Analytic Hierarchy Process (FAHP) with Data Envelopment Analysis (DEA). The integrated FAHP/DEA method comprises two stages. In the first stage, linguistic terms are used to determine the decision makers’ opinion and are converted to quantitative forms by using FAHP methods. Subsequently, in the second stage, DEA method is applied to obtain relative efficiency of sub-regions in Turkey. The integrated FAHP/DEA method is illustrated with a real case study

Using multi-level frontiers in DEA models to grade countries/territories

Several investigations to and approaches for categorizing academic journals/institutions/countries into different grades have been published in the past. To the best of our knowledge, most existing grading methods use either a weighted sum of quantitative indicators(including the case of one properly defined quantitative indicator) or quantified peer reviewresults. Performance measurement is an important issue of concern for science and technol-ogy (S&amp;T) management. In this paper we address this issue, leading to multi-level frontiersresulting from data envelopment analysis (DEA) models to grade selected countries/territories. We use research funding and researchers as input indicators, and take papers,citations and patents as output indicators. Our research results show that using DEAfrontiers we can unite countries/territories by different grades. These grades reflect the cor-responding countries&rsquo; levels of performance with respect to multiple inputs and outputs.Furthermore, we use papers, citations and patents as single output (with research fund-ing and researchers as inputs), respectively, to show country/territory grade changes. Inorder to increase the insight in this approach, we also incorporate a simple value judgment(that the number of citations is more important than the number of papers) as prior infor-mation into the DEA models to study the resulting changes of these Countries/Territories&rsquo;performance grades.</p