Sciweavers

SOCO
2010
Springer
13 years 3 months ago
Taximeter verification with GPS and soft computing techniques
Until recently, local governments in Spain were using machines with rolling cylinders for verifying taximeters. However, the condition of the tires can lead to errors in the proces...
José Villar, Adolfo Otero, José Oter...
TFS
2011
239views Education» more  TFS 2011»
13 years 3 months ago
Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
William M. Hinojosa, Samia Nefti, Uzay Kaymak
EUSFLAT
2009
126views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
A Conceptual Framework for Understanding a Fuzzy System
The word Interpretability is becoming more and more frequent in the fuzzy literature. It is admitted as the main advantage of fuzzy systems and it should be given a main role in fu...
José M. Alonso, Luis Magdalena
TSMC
2008
137views more  TSMC 2008»
13 years 8 months ago
A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
This paper proposes a type-2 self-organizing neural fuzzy system (T2SONFS) and its hardware implementation. The antecedent parts in each T2SONFS fuzzy rule are interval type-2 fuzz...
Chia-Feng Juang, Yu-Wei Tsao
FSS
2007
102views more  FSS 2007»
13 years 8 months ago
Extraction of fuzzy rules from support vector machines
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...
KES
2006
Springer
13 years 8 months ago
Genetic-Fuzzy Modeling on High Dimensional Spaces
In this paper, in order to reduce the explosive increase of the search space as the input dimension grows, we present a new representation method for the structure of fuzzy rules, ...
Joon-Min Gil, SeongHoon Lee
JUCS
2008
160views more  JUCS 2008»
13 years 8 months 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, ...
FSS
2006
102views more  FSS 2006»
13 years 8 months ago
Consistent Sobolev regression via fuzzy systems with overlapping concepts
In this paper we propose a new nonparametric regression algorithm based on Fuzzy systems with overlapping concepts. We analyze its consistency properties, showing that it is capab...
Giancarlo Ferrari-Trecate, Riccardo Rovatti
EUSFLAT
2001
103views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
The importance of learning in fuzzy systems
One of the superior capabilities of fuzzy systems is that they can use the information expressed in a linguistic pattern. Though most fuzzy systems, have been formed to emulate hu...
Ahmad Lotfi
EUSFLAT
2007
129views Fuzzy Logic» more  EUSFLAT 2007»
13 years 10 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