title: |
Modelling and aggregation of heterogeneous fuzzy data |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 1066 - 1073 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Arne-Jens Hempel, Gernot Herbst, Steffen F. |
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publication date: |
July 2011 |
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keywords: |
Fuzzy classification, fuzzy modelling of
data, aggregation. |
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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. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |