User profiles for Miguel Pagola
Miguel PagolaUniversidad Pública de Navarra Verified email at unavarra.es Cited by 4865 |
A historical account of types of fuzzy sets and their relationships
… Pagola, and J. Fernandez are with the Departamento de Automática y Computación,
Universidad Pública de Navarra, 31006 Pamplona, Spain (e-mail: bustince@unavarra.es; …
Universidad Pública de Navarra, 31006 Pamplona, Spain (e-mail: bustince@unavarra.es; …
Grouping, overlap, and generalized bientropic functions for fuzzy modeling of pairwise comparisons
In this paper, we propose new aggregation functions for the pairwise comparison of alternatives
in fuzzy preference modeling. More specifically, we introduce the concept of a grouping …
in fuzzy preference modeling. More specifically, we introduce the concept of a grouping …
Interval-valued fuzzy sets constructed from matrices: Application to edge detection
In this paper we present a method to construct interval-valued fuzzy sets (or interval type 2
fuzzy sets) from a matrix (or image), in such a way that we obtain the length of the interval …
fuzzy sets) from a matrix (or image), in such a way that we obtain the length of the interval …
New method to assess barley nitrogen nutrition status based on image colour analysis: Comparison with SPAD-502
Measuring the nitrogen nutrition status of plants is useful for nitrogen fertiliser management.
As nitrogen is one of the main structural components of chlorophyll, its nutrition status is …
As nitrogen is one of the main structural components of chlorophyll, its nutrition status is …
Restricted equivalence functions
In this paper we present the concept of a restricted equivalence function. This concept arises
on the one hand, from the definition of equivalence given by J. Fodor and M. Roubens, and …
on the one hand, from the definition of equivalence given by J. Fodor and M. Roubens, and …
Image thresholding using restricted equivalence functions and maximizing the measures of similarity
In this paper we apply restricted equivalence functions to the computation of the threshold of
an image. In the first part we present an algorithm for obtaining the best threshold of a …
an image. In the first part we present an algorithm for obtaining the best threshold of a …
Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: Toward a wider view on their relationship
In this paper, we will present a wider view on the relationship between interval-valued fuzzy
sets and interval type-2 fuzzy sets, where we will show that interval-valued fuzzy sets are a …
sets and interval type-2 fuzzy sets, where we will show that interval-valued fuzzy sets are a …
Construction of fuzzy indices from fuzzy DI-subsethood measures: Application to the global comparison of images
Two measures are presented for comparing fuzzy sets. The method for constructing these
measures is studied, starting from fuzzy DI-subsethood measures (see [H. Bustince, V. …
measures is studied, starting from fuzzy DI-subsethood measures (see [H. Bustince, V. …
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system
Objective To develop a classifier that tackles the problem of determining the risk of a patient
of suffering from a cardiovascular disease within the next 10 years. The system has to …
of suffering from a cardiovascular disease within the next 10 years. The system has to …
Some properties of overlap and grouping functions and their application to image thresholding
In this paper we study under which conditions overlap and grouping functions satisfy some
commonly demanded properties such as migrativity or homogeneity. We also recall that the …
commonly demanded properties such as migrativity or homogeneity. We also recall that the …