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The inherent uncertainty in software development compounds partiality and unpredictability in modeling processes. Stakeholder conflicts, alternative design decisions, and incomplete information can all participate to make the modeler unsure about the information in the model. In Model-Driven Engineering the problem of uncertainty is even more exacerbated by unwanted non-determinism present in model transformations, especially bidirectional ones. In fact, restoring the consistency among two or more views/models is typically an ambigous process as most of the time correspondences among them are non-bijective. In this talk, an approach to non-deterministic transformations is presented. The lack of information, which prevents the implementor from defining a deterministic consistency-restoration strategy in a transformation (at design-time), is translated into known uncertainty of the solution (at run-time), i.e., multiple possibilities. Unfortunately, little changes in one of the sources correspond to a combinatorial explosion of the solutions on the other source. In order to deal with the multitude of models, models with uncertainty are introduced to represent in an intensional manner the complete solution space. The technique is applied to the JTL language demonstrating the advantages of the proposal.