2000, Vol. VII, Núm. 2-3
http://hdl.handle.net/2099/2071
EUSFLAT - ESTYLF'99 Joint Conference2019-11-19T23:07:25ZEditorial [1st. EUSFLAT Conference & 9th. Spanish congress on fuzzy logic and technology. Selection of extended versions of papers presented ]
http://hdl.handle.net/2099/3681
Editorial [1st. EUSFLAT Conference & 9th. Spanish congress on fuzzy logic and technology. Selection of extended versions of papers presented ]
Mayor Forteza, Gaspar
2007-10-15T12:44:33ZMayor Forteza, GasparSafety regulations of fuzzy-logic control to nuclear reactors
http://hdl.handle.net/2099/3589
Safety regulations of fuzzy-logic control to nuclear reactors
Ruan, Da
We present an R&D project on fuzzy-logic control applications to
the Belgian Nuclear Reactor 1 (BR1) at the Belgian Nuclear
Research Centre (SCK•CEN). The project started in 1995 and aimed at investigating the added value of fuzzy logic control for nuclear reactors. We first review some relevant literature on fuzzy logic control in nuclear reactors, then present the state-of-the-art of the BR1 project, with an understanding of the safety requirements for this real fuzzy-logic control application in nuclear reactors.
2007-09-28T09:39:30ZRuan, DaWe present an R&D project on fuzzy-logic control applications to
the Belgian Nuclear Reactor 1 (BR1) at the Belgian Nuclear
Research Centre (SCK•CEN). The project started in 1995 and aimed at investigating the added value of fuzzy logic control for nuclear reactors. We first review some relevant literature on fuzzy logic control in nuclear reactors, then present the state-of-the-art of the BR1 project, with an understanding of the safety requirements for this real fuzzy-logic control application in nuclear reactors.Niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction
http://hdl.handle.net/2099/3588
Niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction
Sánchez Ramos, Luciano; Corrales González, José Antonio
A new method
for applying grammar based Genetic Programming
to learn fuzzy rule based classifiers
from examples is proposed. It will produce linguistically
understandable, rule based definitions
in which not all features are present
in the antecedents. A
feature selection is implicit in the
algorithm.
Since both surface and deep structure
will be learned, standard grammar based GP is
not applicable to this problem.
We have adapted GA-P algorithms, a
method formerly defined as an hybrid
between GA and GP, that is able to
perform a more effective search in
the parameters space than canonical GP do.
Our version of GA-P supports a
grammatical description of the genotype,
a syntax tree based codification
(which is more efficient than parse
tree based representations)
and a niching scheme which improves
the convergence properties of this
algorithm when applied to this problem
2007-09-28T09:26:12ZSánchez Ramos, LucianoCorrales González, José AntonioA new method
for applying grammar based Genetic Programming
to learn fuzzy rule based classifiers
from examples is proposed. It will produce linguistically
understandable, rule based definitions
in which not all features are present
in the antecedents. A
feature selection is implicit in the
algorithm.
Since both surface and deep structure
will be learned, standard grammar based GP is
not applicable to this problem.
We have adapted GA-P algorithms, a
method formerly defined as an hybrid
between GA and GP, that is able to
perform a more effective search in
the parameters space than canonical GP do.
Our version of GA-P supports a
grammatical description of the genotype,
a syntax tree based codification
(which is more efficient than parse
tree based representations)
and a niching scheme which improves
the convergence properties of this
algorithm when applied to this problemDesign of a rule-driven architecture for a genetic T-norm
http://hdl.handle.net/2099/3587
Design of a rule-driven architecture for a genetic T-norm
Frías Martínez, Enrique; Gutiérrez Ríos, Julio; Fernández Hernández, Felipe
Rule-Driven processing has been proved as a way of achieving high speed in fuzzy hardware. Up to now, rule-driven architectures were designed to work with minimum or product as T-norm.
This paper proposes two new rule-driven models designed for any T-norm (programmable T-norm) and any kind of membership function.
The first one gives a valid theory for rule-driven processing with programmable T-norm and stablishes the background for the second model. The second model has been designed taking into account its implementation characteristics and for normalized membership functions with an overlap factor of two. The architecture proposed can be
implemented either by hardware or software.
2007-09-28T09:12:16ZFrías Martínez, EnriqueGutiérrez Ríos, JulioFernández Hernández, FelipeRule-Driven processing has been proved as a way of achieving high speed in fuzzy hardware. Up to now, rule-driven architectures were designed to work with minimum or product as T-norm.
This paper proposes two new rule-driven models designed for any T-norm (programmable T-norm) and any kind of membership function.
The first one gives a valid theory for rule-driven processing with programmable T-norm and stablishes the background for the second model. The second model has been designed taking into account its implementation characteristics and for normalized membership functions with an overlap factor of two. The architecture proposed can be
implemented either by hardware or software.A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system
http://hdl.handle.net/2099/3586
A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system
Cordón García, Oscar; Moya Anegón, Félix de; Zarco Fernández, Carmen
Although the fuzzy retrieval model constitutes a powerful extension of the
boolean one, being able to deal with the imprecision and subjectivity existing
in the Information Retrieval process, users are not usually able to express
their query requirements in the form of an extended boolean query including
weights. To solve this problem, different tools to assist the user in the query
formulation have been proposed.
In this paper, the genetic algorithm-programming technique is considered to
build an algorithm of this kind that will be able to automatically learn
weighted queries --modeling the user's needs-- for a fuzzy information
retrieval system by applying an off-line adaptive process starting from a set
of relevant documents.
2007-09-28T08:49:46ZCordón García, OscarMoya Anegón, Félix deZarco Fernández, CarmenAlthough the fuzzy retrieval model constitutes a powerful extension of the
boolean one, being able to deal with the imprecision and subjectivity existing
in the Information Retrieval process, users are not usually able to express
their query requirements in the form of an extended boolean query including
weights. To solve this problem, different tools to assist the user in the query
formulation have been proposed.
In this paper, the genetic algorithm-programming technique is considered to
build an algorithm of this kind that will be able to automatically learn
weighted queries --modeling the user's needs-- for a fuzzy information
retrieval system by applying an off-line adaptive process starting from a set
of relevant documents.Deformed fuzzy automata for the text error correction problem
http://hdl.handle.net/2099/3585
Deformed fuzzy automata for the text error correction problem
Echanobe Arias, Francisco Javier; Garitagoitia Padrones, José Ramón; González de Mendívil, José Ramón; Astrain Escola, José Javier
A fuzzy method for the text error correction problem is introduced. The method
is able to handle insert, delete and substitution errors. Moreover, it uses
the measurement level output that an Isolated Character Classifier can provide.
The method is based on a Deformed System, in particular, a deformed fuzzy automaton
is defined to model the possible errors in the words of the texts. Experimental
results show good performance in correcting the three types of errors.
2007-09-27T12:32:50ZEchanobe Arias, Francisco JavierGaritagoitia Padrones, José RamónGonzález de Mendívil, José RamónAstrain Escola, José JavierA fuzzy method for the text error correction problem is introduced. The method
is able to handle insert, delete and substitution errors. Moreover, it uses
the measurement level output that an Isolated Character Classifier can provide.
The method is based on a Deformed System, in particular, a deformed fuzzy automaton
is defined to model the possible errors in the words of the texts. Experimental
results show good performance in correcting the three types of errors.Fuzzy adpatation for information acces to digital libraries
http://hdl.handle.net/2099/3584
Fuzzy adpatation for information acces to digital libraries
Fernández Llamas, Camino; Aedo, Ignacio; Díaz, Paloma; Matellán Olivera, Vicente
Different models have been proposed to build systems that adapt to
the user reducing the complexity in the information browsing
process, saving user time and offering personalised interfaces. The
work described in this paper, named \wz, is an example of adaptive
system specially built for accessing digital libraries. A fuzzy
decision mechanism is used to implement the adaptation of both the
user interface and the information searching process. This paper
describes how this system has been designed and implemented,
focusing on its fuzzy-based components. Finally, it also briefly
discusses the advantages of using fuzzy logic to implement
adaptability of the user interface and the searching process.
2007-09-27T11:54:38ZFernández Llamas, CaminoAedo, IgnacioDíaz, PalomaMatellán Olivera, VicenteDifferent models have been proposed to build systems that adapt to
the user reducing the complexity in the information browsing
process, saving user time and offering personalised interfaces. The
work described in this paper, named \wz, is an example of adaptive
system specially built for accessing digital libraries. A fuzzy
decision mechanism is used to implement the adaptation of both the
user interface and the information searching process. This paper
describes how this system has been designed and implemented,
focusing on its fuzzy-based components. Finally, it also briefly
discusses the advantages of using fuzzy logic to implement
adaptability of the user interface and the searching process.Using genetic feature selection for optimizing user profiles
http://hdl.handle.net/2099/3583
Using genetic feature selection for optimizing user profiles
Larsen, Henrik Legind; Marín Ruíz, Nicolás; Martín Bautista, Maria José; Vila Miranda, María Amparo
Most of the techniques used in text classification are determined
by the occurrences of the words (terms) appearing in the
documents, combined with the user feedback over the documents
retrieved. However, in our model, the most relevant terms will be
selected from a previous fuzzy classification given by the genetic
algorithm guided by the user feedback, but using techniques from
Machine Learning. A feature selection process is carried out
through a Genetic Algorithm in order to find the most
discriminatory terms to be stored as the user profile.
2007-09-27T11:27:30ZLarsen, Henrik LegindMarín Ruíz, NicolásMartín Bautista, Maria JoséVila Miranda, María AmparoMost of the techniques used in text classification are determined
by the occurrences of the words (terms) appearing in the
documents, combined with the user feedback over the documents
retrieved. However, in our model, the most relevant terms will be
selected from a previous fuzzy classification given by the genetic
algorithm guided by the user feedback, but using techniques from
Machine Learning. A feature selection process is carried out
through a Genetic Algorithm in order to find the most
discriminatory terms to be stored as the user profile.First applications of the Orbex coprocessor: control of unmanned vehicles
http://hdl.handle.net/2099/3582
First applications of the Orbex coprocessor: control of unmanned vehicles
García Rosa, Ricardo; Pedro Lucio, Teresa de
The ORBEX coprocessor has been designed to execute the typical fuzzy operations of a system based on fuzzy rules. The first real application has been fuzzy controllers for electric cars. The values of the input variables, the position and the orientation of the car with respect the desired trajectory of reference, are obtained from the data provided by a DGPS boarded in the vehicle. The values of the output variables provided by the controller are the angle that the steering wheel has to be turned and the increment of the velocity. Due to the power of the ORBEX coprocessor the controllers can be written with few though meaningful rules.
2007-09-27T11:05:04ZGarcía Rosa, RicardoPedro Lucio, Teresa deThe ORBEX coprocessor has been designed to execute the typical fuzzy operations of a system based on fuzzy rules. The first real application has been fuzzy controllers for electric cars. The values of the input variables, the position and the orientation of the car with respect the desired trajectory of reference, are obtained from the data provided by a DGPS boarded in the vehicle. The values of the output variables provided by the controller are the angle that the steering wheel has to be turned and the increment of the velocity. Due to the power of the ORBEX coprocessor the controllers can be written with few though meaningful rules.Fuzzy path tracking and position estimation of autonomous vehicles using differential GPS
http://hdl.handle.net/2099/3581
Fuzzy path tracking and position estimation of autonomous vehicles using differential GPS
Rodríguez Castaño, Ángel; Heredia Benot, José Guillermo; Ollero Baturone, Aníbal
This paper presents an autonomous vehicle position estimation
system based on GPS, that uses a fuzzy sensor fusion technique. A
fuzzy path tracking algorithm is also proposed. Both systems have
been implemented in the ROMEO-4R vehicle developed at the
University of Seville.
2007-09-27T10:51:51ZRodríguez Castaño, ÁngelHeredia Benot, José GuillermoOllero Baturone, AníbalThis paper presents an autonomous vehicle position estimation
system based on GPS, that uses a fuzzy sensor fusion technique. A
fuzzy path tracking algorithm is also proposed. Both systems have
been implemented in the ROMEO-4R vehicle developed at the
University of Seville.