Modelling and aggregation of heterogeneous fuzzy data
Arne-Jens Hempel, Gernot Herbst, Steffen F. Bocklisch · 2011
This article proposes an individual fuzzy modelling and treatment of data allowing for the specific uncertainty of each datum.A modelling approach based on parametric fuzzy sets is being introduced which can be employed to model both data with individual uncertainties as well as abstract phenomena in a feature space (classes).An aggregation procedure is being presented which takes the individual characteristics of all learning objects into account, resulting in a fuzzy description of the same, interpretable structure.Examples are given using both synthetic and real-world data.