| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 390800 | Fuzzy Sets and Systems | 2009 | 16 Pages |
Abstract
In this paper a wide class of discrete optimization problems, which can be formulated as a 0–1 linear programming problem is discussed. It is assumed that the objective function costs are not precisely known. This uncertainty is modeled by specifying a finite set of fuzzy scenarios. Under every fuzzy scenario the costs are given as fuzzy intervals. Possibility theory is then applied to chose a solution in such a problem and mixed integer linear programming models are proposed to compute this solution.
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