Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1703367 | Applied Mathematical Modelling | 2016 | 12 Pages |
Abstract
Robust optimization has attracted great attention in recent decade owing to its ability to cope with risk and uncertainty in real-life optimization problems. Recently, the scope of robust optimization is extended into fuzzy mathematical programming by proposing robust possibilistic programming approach. As a complementary for robust possibilistic programming approach, this paper proposes different novel robust flexible programming and robust mixed possibilistic-flexible programming models. The advantages and strengths of the proposed models are described and a real-life problem is employed to show the efficiency and practicability of the propounded models against the traditional fuzzy programming approach.
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Authors
Mir Saman Pishvaee, Mohamadreza Fazli Khalaf,