N. Shoja

According to our database1, N. Shoja authored at least 18 papers between 2004 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2017
Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values.
J. Intell. Fuzzy Syst., 2017

2013
A new method for ranking non-extreme efficient units in data envelopment analysis.
Optim. Lett., 2013

2011
Sensitivity analysis of inefficient units in data envelopment analysis.
Math. Comput. Model., 2011

2005
Sensitivity and stability analysis in data envelopment analysis.
J. Oper. Res. Soc., 2005

A feasible interval for weights in data envelopment analysis.
Appl. Math. Comput., 2005

Undesirable inputs and outputs in DEA models.
Appl. Math. Comput., 2005

Sensitivity of efficiency classifications in the inverse DEA models.
Appl. Math. Comput., 2005

A one-model approach to classification and sensitivity analysis in DEA.
Appl. Math. Comput., 2005

The identification of nondominated and efficient paths on a network.
Appl. Math. Comput., 2005

Sensitivity and stability analysis in DEA.
Appl. Math. Comput., 2005

2004
A Method for Generating All the Efficient solutions of a 0-1 Multi-objective Linear Programming Problem.
Asia Pac. J. Oper. Res., 2004

Using the gradient line for ranking DMUs in DEA.
Appl. Math. Comput., 2004

Ranking using l<sub>1</sub>-norm in data envelopment analysis.
Appl. Math. Comput., 2004

Input estimation and identification of extra inputs in inverse DEA models.
Appl. Math. Comput., 2004

A method for detecting influential observation in radial DEA models.
Appl. Math. Comput., 2004

The outputs estimation of a DMU according to improvement of its efficiency.
Appl. Math. Comput., 2004

A method for finding efficient DMUs in DEA Using 0-1 linear programming.
Appl. Math. Comput., 2004

An alternative approach for equitable allocation of shared costs by using DEA.
Appl. Math. Comput., 2004


  Loading...