Modelling and aggregation of heterogeneous fuzzy data

DOI

10.2991/eusflat.2011.72How to use a DOI?

Keywords

Fuzzy classification, fuzzy modelling of data, aggregation.

Abstract

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.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Arne-Jens Hempel
AU  - Gernot Herbst
AU  - Steffen F. Bocklisch
PY  - 2011/08
DA  - 2011/08
TI  - Modelling and aggregation of heterogeneous fuzzy data
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 1066
EP  - 1073
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.72
DO  - 10.2991/eusflat.2011.72
ID  - Hempel2011/08
ER  -