NUEVOS METODOS DE SUPERRESOLUCION Y SEGMENTACION DE IMAGENES RM. APLICACION AL ESTUDIO ESTRUCTURAL DE LA PSICOSIS

TIN2011-29520

Nombre agencia financiadora Ministerio de Ciencia e Innovación
Acrónimo agencia financiadora MICINN
Programa Programa Nacional de Investigación Fundamental
Subprograma Investigación fundamental no-orientada
Convocatoria Investigación Fundamental No-Orientada
Año convocatoria 2011
Unidad de gestión Sin informar
Centro beneficiario UNIVERSIDAD PÚBLICA DE NAVARRA (UPNA)
Centro realización DEPARTAMENTO DE INGENIERIA ELECTRICA Y ELECTRONICA
Identificador persistente http://dx.doi.org/10.13039/501100004837

Publicaciones

Found(s) 2 result(s)
Found(s) 1 page(s)

Using the Choquet integral in the fuzzy reasoning method of fuzzy rule-based classification systems

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • 0000-0001-6657-948X
  • 0000-0002-1279-6195
  • 0000-0003-4427-3935
  • 0000-0002-5845-887X
  • 0000-0002-1427-9909
In this paper we present a new fuzzy reasoning method in which the Choquet
integral is used as aggregation function. In this manner, we can take into account the
interaction among the rules of the system. For this reason, we consider several fuzzy
measures, since it is a key point on the subsequent success of the Choquet integral, and
we apply the new method with the same fuzzy measure for all the classes. However, the
relationship among the set of rules of each class can be different and therefore the best
fuzzy measure can change depending on the class. Consequently, we propose a learning
method by means of a genetic algorithm in which the most suitable fuzzy measure for
each class is computed. From the obtained results it is shown that our new proposal
allows the performance of the classical fuzzy reasoning methods of the winning rule and
additive combination to be enhanced whenever the fuzzy measure is appropriate for the
tackled problem., This work was partially supported by the Spanish Ministry of Science and Technology under projects
TIN2010-15055 and TIN2011-29520.




Pre-aggregation functions: construction and an application

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Lucca, Giancarlo
  • 0000-0002-1427-9909
  • 0000-0001-6986-9888
  • 0000-0002-6757-7934
  • Mesiar, Radko
  • Kolesárová, Anna
  • 0000-0002-1279-6195
In this work we introduce the notion of preaggregation
function. Such a function satisfies the same boundary
conditions as an aggregation function, but, instead of requiring
monotonicity, only monotonicity along some fixed direction (directional
monotonicity) is required. We present some examples
of such functions. We propose three different methods to build
pre-aggregation functions. We experimentally show that in fuzzy
rule-based classification systems, when we use one of these
methods, namely, the one based on the use of the Choquet
integral replacing the product by other aggregation functions,
if we consider the minimum or the Hamacher product t-norms
for such construction, we improve the results obtained when
applying the fuzzy reasoning methods obtained using two classical
averaging operators like the maximum and the Choquet integral., This work was supported in part by the Spanish Ministry of Science
and Technology under projects TIN2008-06681-C06-01, TIN2010-
15055, TIN2013-40765-P, TIN2011-29520.