Abstract
This chapter presents a method for labeling users in an intelligent environment according to activities drawn from an activity stream. The activity stream is composed by all the activities that are registered in a certain window of time. Using a fuzzy inference engine labels are assigned to students, in order to aggregate the generated data. To evaluate the scalability of the approach several simulations where executed, results show the method is viable tool.
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Arce, F., García-Valdez, M. (2014). Fuzzy Labeling of Users in an Educational Intelligent Environment Using an Activity Stream. In: Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-319-05170-3_42
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DOI: https://doi.org/10.1007/978-3-319-05170-3_42
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