A Panwar, M Olfati, M Pant, V Snasel - Archives of Computational Methods …, 2022 - Springer
DEA, incepted in 80s, has emerged as a popular decision-making technique, for determining the efficiency of similar units. Due to its simplicity and applicability, DEA has …
In recent years there has been an exponential growth in the number of publications related to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
G Kou, Y Peng, G Wang - Information sciences, 2014 - Elsevier
The evaluation of clustering algorithms is intrinsically difficult because of the lack of objective measures. Since the evaluation of clustering algorithms normally involves multiple criteria, it …
The objective of this paper is to evaluate the sustainability of operational logistics performance within a sample of OECD nations and to compare this to the most widely known …
This study surveys the data envelopment analysis (DEA) literature by applying a citation- based approach. The main goals are to find a set of papers playing the central role in DEA …
In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It has been …
The second edition of this book has been written for the same audience as the first edition. It is designed to be a" first port of call" for people wishing to study efficiency and productivity …