The present article dedicates itself to fuzzy modelling
of data-inherent structures. In particular two main points are dealt
with: the introduction of a fuzzy modelling framework and the elaboration
of an automated, data-driven design strategy to model complex
data-inherent structures within this framework.
The innovation concerning the modelling framework lies in the
fact that it is consistently built around a single, generic type of parametrical
and convex membership function. In the first part of the
article this essential building block will be defined and its assets and
shortcomings will be discussed.
The novelty regarding the automated, data-driven design strategy
consist in the conservation of the modelling framework when modelling
complex (nonconvex) data-inherent structures. Instead of applying
current clustering methods the design strategy uses the inverse
of the data structure in order to created a fuzzy model solely based
on convex membership functions.
Throughout the article the whole model design process is illustrated,
section by section, with the help of an academic example.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:19196 |
| Date | 17 September 2009 |
| Creators | Hempel, Arne-Jens, Bocklisch, Steffen F. |
| Publisher | Technische Universität Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Source | Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA-EUSFLAT 2009), Lisbon, Portugal, July 20-24, 2009 |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-989-95079-6-8 |
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