Methods of Optimization in Imprecise Data Envelopment Analysis
محورهای موضوعی : International Journal of Data Envelopment Analysis
N. Malekmohammadi
1
(Department of Mathematics, Faculty of Science, Islamic Azad University, South Tehran Branch, Iran)
H. Alimohammadizadeh Noughi
2
(Department of Mathematics, Faculty of Science, Islamic Azad University, South Tehran Branch, Iran)
کلید واژه: Data Envelopment Analysis, gradient projection method, multiple objective linear prog, Imprecise data,
چکیده مقاله :
In this paper imprecise target models has been proposed to investigate the relation between imprecise data envelopment analysis (IDEA) and mini-max reference point formulations. Through these models, the decision makers' preferences are involved in interactive trade-off analysis procedures in multiple objective linear programming with imprecise data. In addition, the gradient projection type method can be suggested to determine a normal vector at a given efficient solution on the efficient frontier and to establish an interactive procedure for searching for the most preferred solution (MPS) that maximizes the decision maker implicit utility function
