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Crowdsourcing is defined as the outsourcing of tasks to a crowd ofcontributors. The crowd is very diverse on these platforms and includesmalicious contributors attracted by the remuneration of tasks and notconscientiously performing them. It is essential to identify these contributorsin order to avoid considering their responses. As not all contributors have thesame aptitude for a task, it seems appropriate to give weight to their answersaccording to their qualifications. This paper, published at the ICTAI 2019conference, proposes a method, MONITOR, for estimating the profile of thecontributor and aggregating the responses using belief function theory.

Modelisation de l'incertitude et de l'imprecision de donnees de crowdsourcing : MONITOR