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JUCS
2008
160views more  JUCS 2008»
14 years 12 days ago
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...
EUSFLAT
2003
14 years 1 months ago
The role and properties of rule relevancy in fuzzy inference process
Fuzzy inference process usually involves the use of fuzzy rule base consisting in several fuzzy rules. Overall output can be obtained by aggregation of outputs of all rules. To ob...
Michal Sabo
EUSFLAT
2003
109views Fuzzy Logic» more  EUSFLAT 2003»
14 years 1 months ago
Diagnosis of dermatological diseases by a neuro-fuzzy system
In this paper we present the application of a particular neuro-fuzzy system, named KERNEL, to the problem of differential diagnosis of erythematosquamous diseases, which represen...
Giovanna Castellano, Ciro Castiello, Anna Maria Fa...
EUSFLAT
2003
108views Fuzzy Logic» more  EUSFLAT 2003»
14 years 1 months ago
On the design of metaheuristic algorithms using fuzzy rules
We present here a co-operative multithread metaheuristic. Each thread employs a (possibly) different optimization strategy and they are controlled by a Coordinator process. A rel...
David A. Pelta, Alejandro Sancho-Royo, José...
EUSFLAT
2007
129views Fuzzy Logic» more  EUSFLAT 2007»
14 years 1 months ago
Advanced Inference in Fuzzy Systems by Rule Base Compression
This paper describes a method for formal compression of fuzzy systems. This method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system ...
Alexander Gegov, Neelamugilan Gobalakrishnan
IBERAMIA
2004
Springer
14 years 5 months ago
Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning
Early work on Case Based Reasoning reported in the literature shows the importance of soft computing techniques applied to different stages of the classical 4-step CBR life cycle. ...
Florentino Fdez-Riverola, Fernando Díaz, Ju...
ECSQARU
2005
Springer
14 years 6 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
14 years 6 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...
ICPR
2008
IEEE
15 years 1 months ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi