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EUSFLAT
2009
141views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
An Experimental Study on the Interpretability of Fuzzy Systems
Abstract-- Interpretability is one of the most significant properties of Fuzzy Systems which are widely acknowledged as gray boxes against other Soft Computing techniques such as N...
José M. Alonso, Luis Magdalena
HIS
2004
13 years 5 months ago
A Novel Fuzzy Approach to Speech Recognition
This paper presents a novel approach to speech recognition using fuzzy modeling. The task begins with conversion of speech spectrogram into a linguistic description based on arbit...
Ramin Halavati, Saeed Bagheri Shouraki, Mahsa Eshr...
IFSA
2003
Springer
101views Fuzzy Logic» more  IFSA 2003»
13 years 9 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...
ECSQARU
2005
Springer
13 years 9 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
FUZZIEEE
2007
IEEE
13 years 10 months ago
Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem
— One of the main advantages of fuzzy modeling is the ability to yield interpretable results. Amongst these modeling methods, the OLS algorithm is a mathematically robust techniq...
Sébastien Destercke, Serge Guillaume, Brigi...