Sciweavers

TNN
2010
174views Management» more  TNN 2010»
12 years 11 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 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
EUSFLAT
2009
162views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Discussions on Interpretability of Fuzzy Systems using Simple Examples
Two conflicting goals are often involved in the design of fuzzy rule-based systems: Accuracy maximization and interpretability maximization. A number of approaches have been propos...
Hisao Ishibuchi, Yusuke Nojima
APIN
1999
143views more  APIN 1999»
13 years 4 months ago
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
Real-world electrical engineering problems can take advantage of the last Data Analysis methodologies. In this paper we will show that Genetic Fuzzy Rule-Based Systems and Genetic ...
Oscar Cordón, Francisco Herrera, Luciano S&...
FSS
2007
116views more  FSS 2007»
13 years 4 months ago
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences
In this work we will explore the theoretical connections existing between fuzzy rule-based systems (FRBS) applied on univariate time series and two statistical reference tools, th...
José Luis Aznarte, José Manuel Ben&i...
FSS
2008
147views more  FSS 2008»
13 years 4 months ago
A general framework for fuzzy morphological associative memories
Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy rule-based systems. The insight that FAMs are closely related to mathematical morphology (M...
Marcos Eduardo Valle, Peter Sussner
AE
2001
Springer
13 years 9 months ago
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems
In the last few years, the coevolutionary paradigm has shown an increasing interest thanks to its high ability to manage huge search spaces. Particularly, the cooperative interacti...
Jorge Casillas, Oscar Cordón, Francisco Her...