Vagueness is often considered as an inherent property of spatial phenomena. In order to reduce this vagueness, integrity constraints should be defined to improve logical consistency of spatio-temporal databases. However, existing constraints are not adapted to control logical consistency of vague spatioÂ–temporal objects because they are initially defined for crisp objects and based on the binary logic and spatial relations models specific to crisp description. When applied to vague spatio-temporal objects, such constraints would reject a large amount of data because they donÂ’t authorize partial consistency in the database. In this paper, we present an approach to define integrity constraints which would able to take in account spatioÂ–temporal vagueness. We define three categories of constraints; semantic, temporal and geometric; accordingly to the nature of vagueness specific to each one. Then, we explain how these constraints could increase the logical consistency of vague spatio-temporal objects by using fuzzy logic and permitting partial consistency.