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His research interests include data envelopment analysis (DEA) and fuzzy and multi objective programming (MOP).
His research interests include Data Envelopment Analysis DEAA), Fuzzy and Multi Objective Programming (MOP).
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To derive the attribute weights for each DM objectively, a multi-objective programming model is constructed and transformed into a linear program to resolve.
The IMCDM framework is based on an integration of life cycle analysis, interval linear programming, multi-objective programming, and multi-criteria decision analysis approaches.
This method uses multi-objective programming as its modeling framework.
The study of multi-objective programming problems was very active in recent years.
The notion of an efficient solution in multi-objective programming is widely used.
Recently, researchers have shown great interests in quasi-efficiency of multi-objective programming (see [12, 13]).
In multi-objective programming problems, objectives often conflict with each other.
In multi-objective programming problems, efficient and weakly efficient solutions are widely used.
Convexity and its generalizations played a critical role in multi-objective programming problems.
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