Anmerkungen:
Quelle: 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
Beschreibung:
The present article dedicates itself to fuzzy modellingof data-inherent structures. In particular two main points are dealtwith: the introduction of a fuzzy modelling framework and the elaborationof an automated, data-driven design strategy to model complexdata-inherent structures within this framework.The innovation concerning the modelling framework lies in thefact that it is consistently built around a single, generic type of parametricaland convex membership function. In the first part of thearticle this essential building block will be defined and its assets andshortcomings will be discussed.The novelty regarding the automated, data-driven design strategyconsist in the conservation of the modelling framework when modellingcomplex (nonconvex) data-inherent structures. Instead of applyingcurrent clustering methods the design strategy uses the inverseof the data structure in order to created a fuzzy model solely basedon convex membership functions.Throughout the article the whole model design process is illustrated,section by section, with the help of an academic example.