2005, Vol. XII, Núm. 2-3
http://hdl.handle.net/2099/1820
ESTYLF'042021-01-18T13:36:19ZEditorial [12th. Spanish Conference on Fuzzy Logic and Fuzzy Technologies, Jaen, 2004: selected papers]
http://hdl.handle.net/2099/3685
Editorial [12th. Spanish Conference on Fuzzy Logic and Fuzzy Technologies, Jaen, 2004: selected papers]
Martínez López, Luis; Jesús Díaz, Ma José del; Castro Peña, Juan Luis
2007-10-17T09:36:49ZMartínez López, LuisJesús Díaz, Ma José delCastro Peña, Juan LuisA multi-granular linguistic model to evaluate the suitability of installing an ERP system
http://hdl.handle.net/2099/1833
A multi-granular linguistic model to evaluate the suitability of installing an ERP system
Sánchez, Pedro José; Pérez, Luís G.; Mata, Francisco; López-Herrera, Antonio Gabriel
The use of Enterprise Resource Planning (ERP) has shown clearly useful and economically profitable in most very large organizations which manage
a great deal of data in their information systems. Nevertheless, the decision of installing an ERP system is not easy and it depends on the size, future profits and other features of the companies. The assessments of the parameters (features, aspects) used to evaluate the suitability of the ERP may be vague and imprecise because they are usually perceptions of the experts. We propose the use of linguistic information to assess these parameters due to
the fact that it is very suitable to model and manage human perceptions. In addition, it may be that each expert has a different knowledge about each parameter and prefers to express his/her preferences in his/her own linguistic term set. Therefore, to manage the evaluation problem of installing an ERP, in this contribution we present a multi-granular linguistic evaluation model that covers these necessities.
2006-06-13T17:09:43ZSánchez, Pedro JoséPérez, Luís G.Mata, FranciscoLópez-Herrera, Antonio GabrielThe use of Enterprise Resource Planning (ERP) has shown clearly useful and economically profitable in most very large organizations which manage
a great deal of data in their information systems. Nevertheless, the decision of installing an ERP system is not easy and it depends on the size, future profits and other features of the companies. The assessments of the parameters (features, aspects) used to evaluate the suitability of the ERP may be vague and imprecise because they are usually perceptions of the experts. We propose the use of linguistic information to assess these parameters due to
the fact that it is very suitable to model and manage human perceptions. In addition, it may be that each expert has a different knowledge about each parameter and prefers to express his/her preferences in his/her own linguistic term set. Therefore, to manage the evaluation problem of installing an ERP, in this contribution we present a multi-granular linguistic evaluation model that covers these necessities.A neural implementation of multi-adjoint logic programs via sf-homogenization
http://hdl.handle.net/2099/1832
A neural implementation of multi-adjoint logic programs via sf-homogenization
Medina Moreno, Jesús; Mérida-Casermeiro, Enrique; Ojeda Aciego, Manuel
A generalization of the homogenization process needed for the neural im-
plementation of multi-adjoint logic programming (a unifying theory to deal
with uncertainty, imprecise data or incomplete information) is presented here.
The idea is to allow to represent a more general family of adjoint pairs, but
maintaining the advantage of the existing implementation recently introduced
in [6]. The soundness of the transformation is proved and its complexity is
analysed. In addition, the corresponding generalization of the neural-like
implementation of the fixed point semantics of multi-adjoint is presented.
2006-06-13T16:45:05ZMedina Moreno, JesúsMérida-Casermeiro, EnriqueOjeda Aciego, ManuelA generalization of the homogenization process needed for the neural im-
plementation of multi-adjoint logic programming (a unifying theory to deal
with uncertainty, imprecise data or incomplete information) is presented here.
The idea is to allow to represent a more general family of adjoint pairs, but
maintaining the advantage of the existing implementation recently introduced
in [6]. The soundness of the transformation is proved and its complexity is
analysed. In addition, the corresponding generalization of the neural-like
implementation of the fixed point semantics of multi-adjoint is presented.Applying fuzzy logic in video surveillance systems
http://hdl.handle.net/2099/1831
Applying fuzzy logic in video surveillance systems
Molina, José Manuel; García, Jesús; Pérez, Oscar; Carbó, Javier; Berlanga, Antonio; Portillo García, Javier Ignacio
In this work, the application of fuzzy logic in surveillance systems based on cameras is Analyzed. Three different fuzzy systems have been tested and compared with a crisp decision system. The first one has been developed using an expert knowledge, the second one was learned from recorded videos, and a third one is developed as a refinement taking into account evaluation with ground truth. In all cases, the core of the system is the association function, in which the developed fuzzy system takes decision about what
blobs (detected pixels grouped in a zone) belong to what tracks. In this work the surveillance video system is deployed in an airport. It is embedded in an A-SMGCS Surveillance function for airport surface, based on video data processing, in charge of the automatic detection, identification and tracking of all interesting targets (aircraft and relevant ground vehicles). The system evaluation has been developed using an evaluation function specifically designed for this type of problem. Results obtained with real data in representative ground operations show different capabilities for each system to solve complex scenarios and to improve tracking accuracy.
2006-06-13T16:39:46ZMolina, José ManuelGarcía, JesúsPérez, OscarCarbó, JavierBerlanga, AntonioPortillo García, Javier IgnacioIn this work, the application of fuzzy logic in surveillance systems based on cameras is Analyzed. Three different fuzzy systems have been tested and compared with a crisp decision system. The first one has been developed using an expert knowledge, the second one was learned from recorded videos, and a third one is developed as a refinement taking into account evaluation with ground truth. In all cases, the core of the system is the association function, in which the developed fuzzy system takes decision about what
blobs (detected pixels grouped in a zone) belong to what tracks. In this work the surveillance video system is deployed in an airport. It is embedded in an A-SMGCS Surveillance function for airport surface, based on video data processing, in charge of the automatic detection, identification and tracking of all interesting targets (aircraft and relevant ground vehicles). The system evaluation has been developed using an evaluation function specifically designed for this type of problem. Results obtained with real data in representative ground operations show different capabilities for each system to solve complex scenarios and to improve tracking accuracy.Systems of possibilistic regressions: a case study in ecological inference
http://hdl.handle.net/2099/1830
Systems of possibilistic regressions: a case study in ecological inference
Donoso, Sergi; Marín Ruíz, Nicolás; Vila Miranda, María Amparo
This work introduces how possibilistic regression can be used in the case of non symmetrical triangular membership functions, building a system of regressions, so that suitable restrictions for each particular problem can be
incorporated. We apply this methodology to the problem of ecological inference, in particular to the estimation of the electoral transition matrix.
An experimentation with several examples shows the benefits of the new approach.
2006-06-12T16:54:49ZDonoso, SergiMarín Ruíz, NicolásVila Miranda, María AmparoThis work introduces how possibilistic regression can be used in the case of non symmetrical triangular membership functions, building a system of regressions, so that suitable restrictions for each particular problem can be
incorporated. We apply this methodology to the problem of ecological inference, in particular to the estimation of the electoral transition matrix.
An experimentation with several examples shows the benefits of the new approach.A characterization for residuated implications on J [0, 1]. Application to the L-fuzzy concept theory.
http://hdl.handle.net/2099/1829
A characterization for residuated implications on J [0, 1]. Application to the L-fuzzy concept theory.
Alcalde, Maria Cristina; Burusco Juandeaburre, Ana; Fuentes-González, Ramón
In this paper, a new characterization for the interval-valued residuated fuzzy implication operators is presented, with which it is possible to use them in a simple and efficient way, since the calculation of the values of an interval-valued implication applicated to two intervals is reduced to the study of a fuzzy implication applicated to the extremes of these intervals. This result is very important in order to extract knowledge from an L-fuzzy context with incomplete information. Finally, some examples of interval-valued residuated fuzzy implications built by this constructive method and some properties are
shown.
2006-06-12T16:46:31ZAlcalde, Maria CristinaBurusco Juandeaburre, AnaFuentes-González, RamónIn this paper, a new characterization for the interval-valued residuated fuzzy implication operators is presented, with which it is possible to use them in a simple and efficient way, since the calculation of the values of an interval-valued implication applicated to two intervals is reduced to the study of a fuzzy implication applicated to the extremes of these intervals. This result is very important in order to extract knowledge from an L-fuzzy context with incomplete information. Finally, some examples of interval-valued residuated fuzzy implications built by this constructive method and some properties are
shown.A first approach to the multipurpose relational database server
http://hdl.handle.net/2099/1828
A first approach to the multipurpose relational database server
Blanco, Ignacio J.; Martínez-Cruz, Carmen; Serrano Chica, José María; Vila Miranda, María Amparo
In this paper, an architecture and an implementation of a multipurpose relational database server are proposed. This architecture enables classical queries to be executed, deductions to be made, and data mining operations
to be performed on fuzzy or classical data. The proposal of this integration is to combine several ways of querying different types of data. In order to achieve this, a combination of existing metaknowledge bases and new data
catalog elements is presented. We also introduce a language for handling all these data coherently and uniformly on the basis of classical SQL sentences.
2006-06-12T16:40:04ZBlanco, Ignacio J.Martínez-Cruz, CarmenSerrano Chica, José MaríaVila Miranda, María AmparoIn this paper, an architecture and an implementation of a multipurpose relational database server are proposed. This architecture enables classical queries to be executed, deductions to be made, and data mining operations
to be performed on fuzzy or classical data. The proposal of this integration is to combine several ways of querying different types of data. In order to achieve this, a combination of existing metaknowledge bases and new data
catalog elements is presented. We also introduce a language for handling all these data coherently and uniformly on the basis of classical SQL sentences.Characterizing intraregular semigroups by intuitionistic fuzzy sets
http://hdl.handle.net/2099/1827
Characterizing intraregular semigroups by intuitionistic fuzzy sets
Hong, Yin; Fang, X.
In this paper, we give some theorems which characterizes the intraregular
semigroups in terms of intuitionistic fuzzy left, right, and biideals.
2006-06-12T16:30:45ZHong, YinFang, X.In this paper, we give some theorems which characterizes the intraregular
semigroups in terms of intuitionistic fuzzy left, right, and biideals.Majority multiplicative ordered weighting geometric operators and their use in the aggregation of multiplicative preference relations
http://hdl.handle.net/2099/1826
Majority multiplicative ordered weighting geometric operators and their use in the aggregation of multiplicative preference relations
Pelayo Melero, Ignacio Manuel; Doña, Jesús Maria; Mesas, Alejandro
In this paper, we introduced the majority multiplicative ordered weighted
geometric (MM-OWG) operator and its properties. This is a general type of
the aggregate dependent weights which we have applied in geometric environment.
The MM-OWG operator is based on the OWG operators and on the
majority operators. We provide the MM-OWG operators to aggregate in a
multiplicative environment, i.e. when it’s necessary to aggregate information
given on a ratio scale. Therefore, it allows us to incorporate the concept of
majority in problems where the information is provided using a ratio scale.
Its properties are studied and an application for multicriteria decision making
problems with multiplicative preference relations is presented.
2006-06-12T15:51:12ZPelayo Melero, Ignacio ManuelDoña, Jesús MariaMesas, AlejandroIn this paper, we introduced the majority multiplicative ordered weighted
geometric (MM-OWG) operator and its properties. This is a general type of
the aggregate dependent weights which we have applied in geometric environment.
The MM-OWG operator is based on the OWG operators and on the
majority operators. We provide the MM-OWG operators to aggregate in a
multiplicative environment, i.e. when it’s necessary to aggregate information
given on a ratio scale. Therefore, it allows us to incorporate the concept of
majority in problems where the information is provided using a ratio scale.
Its properties are studied and an application for multicriteria decision making
problems with multiplicative preference relations is presented.p-Median problems in a fuzzy environment
http://hdl.handle.net/2099/1825
p-Median problems in a fuzzy environment
Kutangila-Mayoya, David; Verdegay, José Luis
In this paper a formulation for the fuzzy p-median model in a fuzzy environment
is presented. The model allows to find optimal locations of p facilities and their
related cost when data related to the node demands and the edge distances are
imprecise and uncertain and also to know the degree of certainty of the solution. For
the sake of illustration, the proposed model is applied in a reduced map of Kinshasa
(Democratic Republic of Congo) obtaining results which are rather than realistic
ones
2006-06-12T15:24:49ZKutangila-Mayoya, DavidVerdegay, José LuisIn this paper a formulation for the fuzzy p-median model in a fuzzy environment
is presented. The model allows to find optimal locations of p facilities and their
related cost when data related to the node demands and the edge distances are
imprecise and uncertain and also to know the degree of certainty of the solution. For
the sake of illustration, the proposed model is applied in a reduced map of Kinshasa
(Democratic Republic of Congo) obtaining results which are rather than realistic
ones