Author  |
Title |
Year |
Publication |
Volume |
Pages |
| Amin, G.R.; Emrouznejad, A. |
Inverse forecasting: a new approach for predictive modelling |
2007 |
Computers and Industrial Engineering |
53 |
491-498 |
| Amin, G.R.; Emrouznejad, A. |
An extended minimax disparity to determine the OWA Operator weights |
2006 |
Computers and Industrial Engineering |
50 |
312-316 |
| Amin, G.R.; Toloo, M. |
Finding the Most Efficient DMUs in DEA: An Improved Integrated Model |
2007 |
Computers and Industrial Engineering |
52 |
71-77 |
| Baker, R.C.; Talluri, S. |
A closer look at the use of data envelopment analysis for technology selection |
1997 |
Computers and Industrial Engineering |
32 |
101-108 |
| Bal, H.; Örkcü, H.H.; Çelebio\uglu, S. |
A new method based on the dispersion of weights in data envelopment analysis |
2008 |
Computers and Industrial Engineering |
54 |
502-512 |
| Chen, Y.-K.; Liao, H.-C. |
Multi-criteria design of an chi control chart |
2004 |
Computers and Industrial Engineering |
46 |
877-891 |
| Gupta, S.M.; Flapper, S.D.P.; Viera, L. |
Preface |
1999 |
Computers and Industrial Engineering |
36 |
719-721 |
| Kahraman, C.; Çevik, S.; Ates, N.Y.; Gülbay, M. |
Fuzzy Multi-criteria Evaluation of Industrial Robotic Systems |
2007 |
Computers and Industrial Engineering |
52 |
414-433 |
| Khodabakhshi, M. |
An output oriented super-efficiency measure in stochastic data envelopment analysis: Considering Iranian electricity distribution companies |
2010 |
Computers and Industrial Engineering |
58 |
663-671 |
| Khouja, M. |
The use of data envelopment analysis for technology selection |
1995 |
Computers and Industrial Engineering |
28 |
123-132 |
