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- W560737395 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." @default.
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- W560737395 date "2016-01-01" @default.
- W560737395 modified "2023-10-12" @default.
- W560737395 title "Novel robust fuzzy mathematical programming methods" @default.
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- W560737395 doi "https://doi.org/10.1016/j.apm.2015.04.054" @default.
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