Modelisation de l'incertitude et de l'imprecision de donnees de
  crowdsourcing : MONITOR
  Crowdsourcing is defined as the outsourcing of tasks to a crowd of
contributors. The crowd is very diverse on these platforms and includes
malicious contributors attracted by the remuneration of tasks and not
conscientiously performing them. It is essential to identify these contributors
in order to avoid considering their responses. As not all contributors have the
same aptitude for a task, it seems appropriate to give weight to their answers
according to their qualifications. This paper, published at the ICTAI 2019
conference, proposes a method, MONITOR, for estimating the profile of the
contributor and aggregating the responses using belief function theory.
