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» Fuzzy Prediction Models in Measurement
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EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Type-II Fuzzy Possibilistic C-Mean Clustering
Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I...
IFSA
2003
Springer
101views Fuzzy Logic» more  IFSA 2003»
15 years 2 months ago
Commutativity as Prior Knowledge in Fuzzy Modeling
In fuzzy modeling (FM), the quantity and quality of the training set is crucial to properly grasp the behavior of the system being modeled. However, the available data are often n...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
IJAR
2002
98views more  IJAR 2002»
14 years 9 months ago
Contradiction sensitive fuzzy model-based adaptive control
Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an an...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
IPMU
2010
Springer
15 years 1 months ago
Short-Time Prediction Based on Recognition of Fuzzy Time Series Patterns
This article proposes knowledge-based short-time prediction methods for multivariate streaming time series, relying on the early recognition of local patterns. A parametric, well-i...
Gernot Herbst, Steffen F. Bocklisch