Methods of critical value reduction for type-2 fuzzy variables and their applications
Journal of Computational and Applied Mathematics
An input relaxation measure of efficiency in fuzzy data envelopment analysis (FDEA)
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Super-efficiency in stochastic data envelopment analysis: An input relaxation approach
Journal of Computational and Applied Mathematics
Computers and Industrial Engineering
Recognizing strong and weak congestion slack based in data envelopment analysis
Computers and Industrial Engineering
| Hi-index | 7.29 |
This paper provides a one-model approach of input congestion based on input relaxation model developed in data envelopment analysis (e.g. [G.R. Jahanshahloo, M. Khodabakhshi, Suitable combination of inputs for improving outputs in DEA with determining input congestion - Considering textile industry of China, Applied Mathematics and Computation (1) (2004) 263-273; G.R. Jahanshahloo, M. Khodabakhshi, Determining assurance interval for non-Archimedean ele improving outputs model in DEA, Applied Mathematics and Computation 151 (2) (2004) 501-506; M. Khodabakhshi, A super-efficiency model based on improved outputs in data envelopment analysis, Applied Mathematics and Computation 184 (2) (2007) 695-703; M. Khodabakhshi, M. Asgharian, An input relaxation measure of efficiency in stochastic data analysis, Applied Mathematical Modelling 33 (2009) 2010-2023]. This approach reduces solving three problems with the two-model approach introduced in the first of the above-mentioned reference to two problems which is certainly important from computational point of view. The model is applied to a set of data extracted from ISI database to estimate input congestion of 12 Canadian business schools.