Jose Aguilar
Professor Jose Aguilar received the B. S. degree in System Engineering in 1987 from the Universidad de los Andes-Merida-Venezuela, the M. Sc. degree in Computer Sciences in 1991 from the Université Paul Sabatier-Toulouse-France, and the Ph.D degree in Computer Sciences in 1995 from the Université Rene Descartes-Paris-France. He was a Postdoctoral Research Fellow in the Department of Computer Sciences at the University of Houston (1999-2000). He is a Titular Professor in the Computer Science Department at the Universidad de Los Andes (ULA), researcher of the Center of Studies in Microelectronics and Distributed Systems (CEMISID). He is member of the Mérida Science Academy and of the IEEE CIS Technical Committee on Neural Networks. Also, currently he is Prometeo Researcher at the Universidad Técnica Particular of Loja (UTPL), Escuela Politécnica Nacional (EPN) and Yachay-EP, Ecuador, and Executive Secretary of CLEI (Centro Latinoamericano de Estudios en Informática). He was the founding president of the Free Technology Research Center (CENDITEL) from 2006 to 2009, head of the Science and Technology Bureau of the Merida State, Venezuela (2001 – 2007), coordinator of CEMISID (2001 – 2007), head of the Department of Computer Science (2011-2014) Coordinator of the Applied Science Doctoral Program, Faculty of Engineering, Universidad de Los Andes (2012-2016) and belonged to the committee that created the High Performance Computing Center of the ULA (CeCalCULA) in 1995.
He has published more than 500 papers in journals, books and proceedings of international conferences in the field of parallel and distributed systems (performance evaluation, task/data/transaction assignment and scheduling, fault tolerance, middleware design, etc.), computational intelligence (artificial neural networks, evolutionary computation, fuzzy logic, swarm intelligence, multi-agent systems, etc.) applied to combinatorial optimization, pattern recognition, control systems (identification and supervision systems, distributed and intelligent control, industrial automation, etc.), among others. He has published 10 books in the domain of computational sciences, and science and technology management. He has been Chairman of Symposia, Conferences, Workshops, etc. like the XXXX Latin American Conference on Computation (CLEI 2014); editor of proceedings and books, and member of more than 50 Program Committees for different International Conference and scientific juries. He has more than 80 conferences in different international or national congress. In addition, he has participated in training courses both nationally and internationally. He has received several awards and some of his papers have received special awards.
Dr. Aguilar has been a visiting research/professor in different universities and laboratories (Université Pierre et Marie Curie-Paris-France, Université de Versailles Paris-France, Université Rene Descarte-Paris-France, Laboratorie d’Automatique et Analyses de Systèmes Toulouse-France, University of Houston-USA, Universidad de la Coruña-Spain, Universidad Complutense and Carlos III Madrid-Spain, Institute National de Recherche en Informatique Nice-France, Universidad de La Plata-Argentina, among others). He has been the coordinator or inviting research in more than 20 research or industrial projects supported by the Venezuelan Scientific Office, the French Scientific Office, the Scientific Office of the Universidad de los Andes, INTEVEP (Venezuelan Institute of research in oil), the European Economic Community, among others. In these projects, he has written more than 40 technical reports. Aguilar has been a consultant for PDVSA (the Venezuelan Oil Company), SIDOR (the Venezuelan Iron and Steel Industry), Venezuelan government departments, etc. Aguilar has supervised more than 60 M.S. and Doctoral students in their theses and dissertation work. He is currently supervising 10 Ph.D. dissertations and 2 M.S. theses. For more details see www.ing.ula.ve/~aguilar
ORCID ID: orcid.org/0000-0003-4194-6882
https://scholar.google.es/citations?user=L3C_ixQAAAAJ&hl=es&cstart=0&pagesize=20
Phone: 58.426.5742164
Address: Dpto. de Computacion, CEMISID, Escuela de Sistemas, Facultad de Ingenieria, Universidad de Los Andes, Nucleo La Hechicera, Merida, Venezuela
He has published more than 500 papers in journals, books and proceedings of international conferences in the field of parallel and distributed systems (performance evaluation, task/data/transaction assignment and scheduling, fault tolerance, middleware design, etc.), computational intelligence (artificial neural networks, evolutionary computation, fuzzy logic, swarm intelligence, multi-agent systems, etc.) applied to combinatorial optimization, pattern recognition, control systems (identification and supervision systems, distributed and intelligent control, industrial automation, etc.), among others. He has published 10 books in the domain of computational sciences, and science and technology management. He has been Chairman of Symposia, Conferences, Workshops, etc. like the XXXX Latin American Conference on Computation (CLEI 2014); editor of proceedings and books, and member of more than 50 Program Committees for different International Conference and scientific juries. He has more than 80 conferences in different international or national congress. In addition, he has participated in training courses both nationally and internationally. He has received several awards and some of his papers have received special awards.
Dr. Aguilar has been a visiting research/professor in different universities and laboratories (Université Pierre et Marie Curie-Paris-France, Université de Versailles Paris-France, Université Rene Descarte-Paris-France, Laboratorie d’Automatique et Analyses de Systèmes Toulouse-France, University of Houston-USA, Universidad de la Coruña-Spain, Universidad Complutense and Carlos III Madrid-Spain, Institute National de Recherche en Informatique Nice-France, Universidad de La Plata-Argentina, among others). He has been the coordinator or inviting research in more than 20 research or industrial projects supported by the Venezuelan Scientific Office, the French Scientific Office, the Scientific Office of the Universidad de los Andes, INTEVEP (Venezuelan Institute of research in oil), the European Economic Community, among others. In these projects, he has written more than 40 technical reports. Aguilar has been a consultant for PDVSA (the Venezuelan Oil Company), SIDOR (the Venezuelan Iron and Steel Industry), Venezuelan government departments, etc. Aguilar has supervised more than 60 M.S. and Doctoral students in their theses and dissertation work. He is currently supervising 10 Ph.D. dissertations and 2 M.S. theses. For more details see www.ing.ula.ve/~aguilar
ORCID ID: orcid.org/0000-0003-4194-6882
https://scholar.google.es/citations?user=L3C_ixQAAAAJ&hl=es&cstart=0&pagesize=20
Phone: 58.426.5742164
Address: Dpto. de Computacion, CEMISID, Escuela de Sistemas, Facultad de Ingenieria, Universidad de Los Andes, Nucleo La Hechicera, Merida, Venezuela
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Papers by Jose Aguilar
Su formalización matemática es fundamental para poder definir modelos de aprendizaje colectivo en el salón inteligente.
construction of common patterns of the protein motifs of the
amyloid protein motifs, extracted from the database AMYPdb,
denoted as regular expressions using the rules PROSITE. Our
task is to analyze a set of possible motifs and to detect if
similarity exists between them, in order to construct a general
motif. The Ant Colony Optimization Model uses an algorithm
of combinatorial optimization based on Ant Colonies. It uses
the amino acids of the first motif to construct the graph where
the ants will walk. Then, the graph is crossed by the ants
according to the path of the second motif, used by a transition
function that promove to flow the path between similars amino
acids. The ants when walking leave pheromone in the nodes,
in a way that at the end several have a lot of or little
pheromone. Finally the graph is crossed again to construct
the resultant regular expression composed by the nodes with
much pheromone.
for multi-robots systems with emergent behavior. The platform
must manage the dynamics in the system, so to enable the
emergence therein. The architecture is divided into three
levels. The first level provides local support to the robot,
manages its processes of action, perception and
communication, as well as its behavioral component. The
behavioral component considers the reactive, cognitive, social
and affective aspects of a robot, which influence its behavior
and how it interacts with the environment and with the other
robots in the system. The second level provides support to the
collective processes of the system, as are the mechanisms of
cooperation, collaboration, planning, and/or negotiation,
which may be needed at any given time. This level of the
architecture is based on the emerging coordination concept.
The third level is responsible by the knowledge management
and learning processes, both individually and collectively,
that are occurring in the system
extraction, comparison and feedback of competencies
from the characterization of its components. The main
product is a scheme that facilitates skills and
knowledge detection in documents, as well as the
identification of more complex concepts, such as
competencies. This research is a first contribution to
the development of a system for comparison and update
profiles, that is adaptable to the context, and facilitates
understanding of the competency dynamics on
education and employment environments
Integration from the point of view of Ontology Mining based
on Services. Specifically, the work focuses on an automatic
suggestion of ontological alignments for users. The Ontology
Mining area (OM) is very recent, due to the current trend of
using ontologies as a mechanism for representing knowledge,
which has created a wide field to explore and extract
knowledge. The problem lies in the comparison of existing
ontologies, in order to use them together, that is, finding their
semantic equivalences. There are different techniques for
ontologies alignment as a form of ontological comparison
based on the matching of the concepts, which is a fundamental
process in the ontologies integration. Each alignment
technique uses different strategies; based on specific
principles, which make it more adequate for a particular
context. This paper proposes an automatic approach for
comparison and selection of alignment techniques, given a
group of ontologies, based on the ABC algorithm, which is
inspire by bee colonies. The approach uses as comparison and
selection criteria the execution time, the number of aligned
concepts, and the number of times the colony chooses each
technique (this is due to the stochastic approach of the ABC
algorithm)
different domains: home, educational and health centers, etc.
Particularly, a smart environment in education must integrate
different aspects linked to virtual and presencial education,
the profile of the students, to the pedagogical paradigm used,
etc., in real time. In this paper we characterize a smart
classroom considering these aspects, using the multiagent
systems paradigm. Particularly, we define the different
components of a smart classroom with their properties. Based
on that, we describe these components like agents using
MASINA, a methodology to specify multiagent systems. We
define two frameworks of agents which describe the different
types of components in a smart classroom (of software and of
hardware), and give examples of applications of these two
frameworks in a device and a software of a smart classroom.
Finally, we show an example of conversation in a smart
classroom based on our multiagents approach, specifically in
a work session.
and Lexical Information (SALOX) for the Dynamic Semantic Ontological
Framework for the Semantic Web (DSOFSW). DSOFSW interprets query in
natural language (Spanish) to the web, and is composed by five parts; a linguistic
ontology for the grammar of Spanish, a lexicon for the lexical information, a
database of facts about the system experiences, a task ontology for the linguistic
analysis process, and an interpretative ontology of the context. SALOX integrates
several methods, approaches and techniques for information extraction, discovery
and actualization (pragmatic (user profile, context knowledge), lexical and
semantic linguistic information, etc.) in order to update the knowledge used for
DSOFSW. SALOX has a component to map the sources of learning with the
learning methods, and another to update the linguistic ontology and the lexicon
of the DSOFSW. Specifically, in this paper we present the design of the learning
unit of lexical information.
batch transfer operations in a flow network by integrating a cost/criticality criterion
to prioritize conflicting operations in terms of resource allocation. The case
study is a seaport for oil export where real industrial data has been gathered. The
work is extendable to flow networks in general and aims at proposing a general, intuitive
algebraic modeling framework through which flow transfer operations can be
scheduled based on a criterion that integrates the potential costs due to late client service
and critical device reliability in order to satisfy a given set of requests through
a set of disjoint alignments in a pipeline network. The research exploits results from
previous work and it is suitable for systems handling different client priorities and
in which device reliability has an important short-term impact on operations
model for scheduling operations on an oil seaport considering
flexible maintenance activities on valves. The work is
based on previous results for the same case study, where fixed
maintenance was studied in the framework of scheduling oil
transfer operations through a pipeline network. The case study
is a Venezuelan seaport for oil export and real operational
constraints and goals are modeled. Results corroborate the
drawbacks that arise when considering fixed maintenance in
the system. Moreover, the adjustments made to obtain a model
considering maintenance relaxation are straightforward and
intuitive. Some linear representations of the problem are also
explored through prioritization of certain tasks
optimization model for scheduling transfer operations on a
flow network within a given maintenance framework. The
case study involves the scheduling of oil batch transfer
operations in coordination with valve maintenance activities in
an oil-exporting seaport. The optimum schedule is determined
through an intuitive, and synthetized mathematical model based
on (max,+) algebra with the objective of minimizing financial
penalties. Real operational constraints and goals in the seaport
are modeled with data from an oil seaport in Venezuela.
Results show the optimum schedule obtained from a concise
and relatively simple optimization model which is the main
contribution of this work.
urban traffic model for comparing a traditional traffic-light coordination method with a
self-organizing method in two scenarios: cyclic boundaries and non-orientable boundaries.
We show that the measures are useful to identify and characterize different dynamical phases.
It becomes clear that different operation regimes are required for different traffic demands.
Thus, not only is traffic a non-stationary problem, requiring controllers to adapt constantly;
controllers must also change drastically the complexity of their behavior depending on the
demand. Based on our measures and extending Ashby’s law of requisite variety, we can
say that the self-organizing method achieves an adaptability level comparable to that of a
living system.
concepts of active learning, learning objects and learning by doing. Is oriented to train professionals that respond to the
country's needs in TICs and the profiles defined in IEEE/ACM. It seeks to conjugate scientific activities, reflection and
development of technologies, making on research groups gravitate all that-make career; under the management of
knowledge and development of technological products based on “learning by doing”. On the other hand, currently
learning has diffused through electronic means; it is proposed to incorporate strategies for distance education computerassisted,
among others. Moreover, taking into account the student's needs, offering flexible, adaptable curriculum graphs
to emerging needs, based on a process of self-formation. An organizational structure inspired by the clouds also proposed;
specifically, the effect, the density and the internal dynamics of the clouds, moving flexibly with the wind (world affairs,
industry, the challenges facing higher education). The model is divided into three sub models: Model Curriculum,
Teaching Model and Evaluation Model.
humana basada en el reconocimiento de patrones (PRTM) para
modelar computacionalmente la dinámica topológica neuronal
intrínseca en las diversas funciones de alto nivel cerebral
(aprendizaje, conciencia, qualía, entre otros). Se estudia el
algoritmo de aprendizaje jerárquico y la ley de rendimientos
acelerados subyacentes en la teoría, además de avances
tecnológicos en esta dirección
Computation and Fuzzy Systems to improve the performance of the Oil Industry, which
is used for Operational Diagnosis in petroleum wells based on the gas lift (GL) method.
The model is composed by two parts: a Multilayer Fuzzy System to identify the operational
scenarios in an oil well and a genetic algorithm to maximize the production of oil
and minimize the flow of gas injection, based on the restrictions of the process and the
operational cost of production.
Additionally, the first layers of the Multilayer Fuzzy System have specific tasks: the
detection of operational failures, and the identification of the rate of gas that the well
requires for production. In this way, our hybrid intelligent model implements supervision
and control tasks
seaport with the purpose of simultaneously minimizing costs due to late client service, as well as selecting the pipeline
alignments (i.e. paths) in order to serve each client. The model is based on (max, +) algebra, and alignment selection
constraints are easily incorporated into a generic constraint modeling several phenomena in the system.
The main contribution of this work is the mathematical formulation of a concise (max, +) model which covers several
phenomena, such as conflict, time dependencies and resource assignment, through one constraint structure. Moreover, this
structure is quite flexible and intuitive for the modeler. The results can be adapted to a wide spectrum of optimization problems.
económicos y la internacionalización de los procesos de producción del conocimiento. La migración es
un efecto no deseado por las naciones que pierden su personal más cualificado. Además, la migración
cualificada es considerada una manera de progresión y el desarrollo de las naciones. Es, por tanto,
un fenómeno difuso en cuanto su complejidad y ambivalencia. En este trabajo se presenta un enfoque
novedoso de interpretación a partir de la utilización de un modelo de la lógica difusa. Los resultados
muestran las múltiples interrelaciones entre los factores explicativos, incluyendo la incidencia de
procesos globales como la situación económica, la existencia de políticas migratorias, y de carácter
individual como las preferencias y expectativas. De este modo, se ha producido un modelo general a
partir de las interconexiones que se establecen entre estos conceptos
Su formalización matemática es fundamental para poder definir modelos de aprendizaje colectivo en el salón inteligente.
construction of common patterns of the protein motifs of the
amyloid protein motifs, extracted from the database AMYPdb,
denoted as regular expressions using the rules PROSITE. Our
task is to analyze a set of possible motifs and to detect if
similarity exists between them, in order to construct a general
motif. The Ant Colony Optimization Model uses an algorithm
of combinatorial optimization based on Ant Colonies. It uses
the amino acids of the first motif to construct the graph where
the ants will walk. Then, the graph is crossed by the ants
according to the path of the second motif, used by a transition
function that promove to flow the path between similars amino
acids. The ants when walking leave pheromone in the nodes,
in a way that at the end several have a lot of or little
pheromone. Finally the graph is crossed again to construct
the resultant regular expression composed by the nodes with
much pheromone.
for multi-robots systems with emergent behavior. The platform
must manage the dynamics in the system, so to enable the
emergence therein. The architecture is divided into three
levels. The first level provides local support to the robot,
manages its processes of action, perception and
communication, as well as its behavioral component. The
behavioral component considers the reactive, cognitive, social
and affective aspects of a robot, which influence its behavior
and how it interacts with the environment and with the other
robots in the system. The second level provides support to the
collective processes of the system, as are the mechanisms of
cooperation, collaboration, planning, and/or negotiation,
which may be needed at any given time. This level of the
architecture is based on the emerging coordination concept.
The third level is responsible by the knowledge management
and learning processes, both individually and collectively,
that are occurring in the system
extraction, comparison and feedback of competencies
from the characterization of its components. The main
product is a scheme that facilitates skills and
knowledge detection in documents, as well as the
identification of more complex concepts, such as
competencies. This research is a first contribution to
the development of a system for comparison and update
profiles, that is adaptable to the context, and facilitates
understanding of the competency dynamics on
education and employment environments
Integration from the point of view of Ontology Mining based
on Services. Specifically, the work focuses on an automatic
suggestion of ontological alignments for users. The Ontology
Mining area (OM) is very recent, due to the current trend of
using ontologies as a mechanism for representing knowledge,
which has created a wide field to explore and extract
knowledge. The problem lies in the comparison of existing
ontologies, in order to use them together, that is, finding their
semantic equivalences. There are different techniques for
ontologies alignment as a form of ontological comparison
based on the matching of the concepts, which is a fundamental
process in the ontologies integration. Each alignment
technique uses different strategies; based on specific
principles, which make it more adequate for a particular
context. This paper proposes an automatic approach for
comparison and selection of alignment techniques, given a
group of ontologies, based on the ABC algorithm, which is
inspire by bee colonies. The approach uses as comparison and
selection criteria the execution time, the number of aligned
concepts, and the number of times the colony chooses each
technique (this is due to the stochastic approach of the ABC
algorithm)
different domains: home, educational and health centers, etc.
Particularly, a smart environment in education must integrate
different aspects linked to virtual and presencial education,
the profile of the students, to the pedagogical paradigm used,
etc., in real time. In this paper we characterize a smart
classroom considering these aspects, using the multiagent
systems paradigm. Particularly, we define the different
components of a smart classroom with their properties. Based
on that, we describe these components like agents using
MASINA, a methodology to specify multiagent systems. We
define two frameworks of agents which describe the different
types of components in a smart classroom (of software and of
hardware), and give examples of applications of these two
frameworks in a device and a software of a smart classroom.
Finally, we show an example of conversation in a smart
classroom based on our multiagents approach, specifically in
a work session.
and Lexical Information (SALOX) for the Dynamic Semantic Ontological
Framework for the Semantic Web (DSOFSW). DSOFSW interprets query in
natural language (Spanish) to the web, and is composed by five parts; a linguistic
ontology for the grammar of Spanish, a lexicon for the lexical information, a
database of facts about the system experiences, a task ontology for the linguistic
analysis process, and an interpretative ontology of the context. SALOX integrates
several methods, approaches and techniques for information extraction, discovery
and actualization (pragmatic (user profile, context knowledge), lexical and
semantic linguistic information, etc.) in order to update the knowledge used for
DSOFSW. SALOX has a component to map the sources of learning with the
learning methods, and another to update the linguistic ontology and the lexicon
of the DSOFSW. Specifically, in this paper we present the design of the learning
unit of lexical information.
batch transfer operations in a flow network by integrating a cost/criticality criterion
to prioritize conflicting operations in terms of resource allocation. The case
study is a seaport for oil export where real industrial data has been gathered. The
work is extendable to flow networks in general and aims at proposing a general, intuitive
algebraic modeling framework through which flow transfer operations can be
scheduled based on a criterion that integrates the potential costs due to late client service
and critical device reliability in order to satisfy a given set of requests through
a set of disjoint alignments in a pipeline network. The research exploits results from
previous work and it is suitable for systems handling different client priorities and
in which device reliability has an important short-term impact on operations
model for scheduling operations on an oil seaport considering
flexible maintenance activities on valves. The work is
based on previous results for the same case study, where fixed
maintenance was studied in the framework of scheduling oil
transfer operations through a pipeline network. The case study
is a Venezuelan seaport for oil export and real operational
constraints and goals are modeled. Results corroborate the
drawbacks that arise when considering fixed maintenance in
the system. Moreover, the adjustments made to obtain a model
considering maintenance relaxation are straightforward and
intuitive. Some linear representations of the problem are also
explored through prioritization of certain tasks
optimization model for scheduling transfer operations on a
flow network within a given maintenance framework. The
case study involves the scheduling of oil batch transfer
operations in coordination with valve maintenance activities in
an oil-exporting seaport. The optimum schedule is determined
through an intuitive, and synthetized mathematical model based
on (max,+) algebra with the objective of minimizing financial
penalties. Real operational constraints and goals in the seaport
are modeled with data from an oil seaport in Venezuela.
Results show the optimum schedule obtained from a concise
and relatively simple optimization model which is the main
contribution of this work.
urban traffic model for comparing a traditional traffic-light coordination method with a
self-organizing method in two scenarios: cyclic boundaries and non-orientable boundaries.
We show that the measures are useful to identify and characterize different dynamical phases.
It becomes clear that different operation regimes are required for different traffic demands.
Thus, not only is traffic a non-stationary problem, requiring controllers to adapt constantly;
controllers must also change drastically the complexity of their behavior depending on the
demand. Based on our measures and extending Ashby’s law of requisite variety, we can
say that the self-organizing method achieves an adaptability level comparable to that of a
living system.
concepts of active learning, learning objects and learning by doing. Is oriented to train professionals that respond to the
country's needs in TICs and the profiles defined in IEEE/ACM. It seeks to conjugate scientific activities, reflection and
development of technologies, making on research groups gravitate all that-make career; under the management of
knowledge and development of technological products based on “learning by doing”. On the other hand, currently
learning has diffused through electronic means; it is proposed to incorporate strategies for distance education computerassisted,
among others. Moreover, taking into account the student's needs, offering flexible, adaptable curriculum graphs
to emerging needs, based on a process of self-formation. An organizational structure inspired by the clouds also proposed;
specifically, the effect, the density and the internal dynamics of the clouds, moving flexibly with the wind (world affairs,
industry, the challenges facing higher education). The model is divided into three sub models: Model Curriculum,
Teaching Model and Evaluation Model.
humana basada en el reconocimiento de patrones (PRTM) para
modelar computacionalmente la dinámica topológica neuronal
intrínseca en las diversas funciones de alto nivel cerebral
(aprendizaje, conciencia, qualía, entre otros). Se estudia el
algoritmo de aprendizaje jerárquico y la ley de rendimientos
acelerados subyacentes en la teoría, además de avances
tecnológicos en esta dirección
Computation and Fuzzy Systems to improve the performance of the Oil Industry, which
is used for Operational Diagnosis in petroleum wells based on the gas lift (GL) method.
The model is composed by two parts: a Multilayer Fuzzy System to identify the operational
scenarios in an oil well and a genetic algorithm to maximize the production of oil
and minimize the flow of gas injection, based on the restrictions of the process and the
operational cost of production.
Additionally, the first layers of the Multilayer Fuzzy System have specific tasks: the
detection of operational failures, and the identification of the rate of gas that the well
requires for production. In this way, our hybrid intelligent model implements supervision
and control tasks
seaport with the purpose of simultaneously minimizing costs due to late client service, as well as selecting the pipeline
alignments (i.e. paths) in order to serve each client. The model is based on (max, +) algebra, and alignment selection
constraints are easily incorporated into a generic constraint modeling several phenomena in the system.
The main contribution of this work is the mathematical formulation of a concise (max, +) model which covers several
phenomena, such as conflict, time dependencies and resource assignment, through one constraint structure. Moreover, this
structure is quite flexible and intuitive for the modeler. The results can be adapted to a wide spectrum of optimization problems.
económicos y la internacionalización de los procesos de producción del conocimiento. La migración es
un efecto no deseado por las naciones que pierden su personal más cualificado. Además, la migración
cualificada es considerada una manera de progresión y el desarrollo de las naciones. Es, por tanto,
un fenómeno difuso en cuanto su complejidad y ambivalencia. En este trabajo se presenta un enfoque
novedoso de interpretación a partir de la utilización de un modelo de la lógica difusa. Los resultados
muestran las múltiples interrelaciones entre los factores explicativos, incluyendo la incidencia de
procesos globales como la situación económica, la existencia de políticas migratorias, y de carácter
individual como las preferencias y expectativas. De este modo, se ha producido un modelo general a
partir de las interconexiones que se establecen entre estos conceptos