Department of Mathematics, Faculty of Science, Islamic Azad University, South Tehran Branch, Iran
Abstract
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
Malekmohammadi, N., & Alimohammadizadeh Noughi, H. (2013). Methods of Optimization in Imprecise Data Envelopment Analysis. International Journal of Data Envelopment Analysis, 1(2), 55-59.
MLA
N. Malekmohammadi; H. Alimohammadizadeh Noughi. "Methods of Optimization in Imprecise Data Envelopment Analysis". International Journal of Data Envelopment Analysis, 1, 2, 2013, 55-59.
HARVARD
Malekmohammadi, N., Alimohammadizadeh Noughi, H. (2013). 'Methods of Optimization in Imprecise Data Envelopment Analysis', International Journal of Data Envelopment Analysis, 1(2), pp. 55-59.
VANCOUVER
Malekmohammadi, N., Alimohammadizadeh Noughi, H. Methods of Optimization in Imprecise Data Envelopment Analysis. International Journal of Data Envelopment Analysis, 2013; 1(2): 55-59.
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