Abstract
Data captured through mobile devices and sensors represent valuable information for organizations. This collected information comes in huge volume and usually carry uncertain data. Due to this quality issue difficulties occur in analyzing the trajectory data warehouse. Moreover, the interpretation of the analysis can vary depending on the background of the user and this will make it difficult to fulfill the analytical needs of an enterprise. In this paper, we will show the benefits of fuzzy logic in solving the challenges related to mobility data by integrating fuzzy concepts into the conceptual and the logical model. We use the ambulance management use case to illustrate our contributions.
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