Browsing by UPNA Author "Fernández Fernández, Francisco Javier"
Now showing items 1-20 of 22
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Affine construction methodology of aggregation functions
(Elsevier, 2020) Artículo / ArtikuluaAggregation functions have attracted much attention in recent times because of its potential use in many areas such us data fusion and decision making. In practice, most of the aggregation functions that scientists use in ... -
Construction of admissible linear orders for interval-valued Atanassov intuitionistic fuzzy sets with an application to decision making
In this work we introduce a method for constructing linear orders between pairs of intervals by using aggregation functions. We adapt this method to the case of interval-valued Atanassov intuitionistic fuzzy sets and we ... -
Construction of capacities from overlap indexes
In this chapter, we show how the concepts of overlap function and overlap index can be used to define fuzzy measures which depend on the specific data of each considered problem. -
d-Choquet integrals: Choquet integrals based on dissimilarities
(Elsevier, 2020) Artículo / ArtikuluaThe paper introduces a new class of functions from [0,1]n to [0,n] called d-Choquet integrals. These functions are a generalization of the 'standard' Choquet integral obtained by replacing the difference in the definition ... -
Dealing with uncertainty: a human perception approach in image processing
(2019) Tesis doctoral / Doktoretza tesiaUna de las maneras de abordar la comparación entre objetos es mediante el uso de la similitud (comparando sus atributos comunes) o la disimilitud (comparando sus diferencias). La similitud ha sido estudiada de maneras muy ... -
A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients
Survival prediction of poly-trauma patients measure the quality of emergency services by comparing their predictions with the real outcomes. The aim of this paper is to tackle this problem applying C4.5 since it achieves ... -
Extensions of fuzzy sets in image processing: an overview
This work presents a valuable review for the interested reader of the recent Works using extensions of fuzzy sets in image processing. The chapter is divided as follows: first we recall the basics of the extensions of fuzzy ... -
A historical account of types of fuzzy sets and their relationships
In this work we review the definition and basic properties of the different types of fuzzy sets that have appeared up to now in the literature. We also analyze the relationships between them and enumerate some of the ... -
Image feature extraction using OD-monotone functions
Edge detection is a basic technique used as a preliminary step for, e.g., object extraction and recognition in image processing. Many of the methods for edge detection can be fit in the breakdown structure by Bezdek, ... -
Improving the performance of fuzzy rule-based classification systems based on a nonaveraging generalization of CC-integrals named C-F1F2-integrals
A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning method (FRM) since it infers the class predicted for new examples. A crucial stage in any FRM is the way in which the information ... -
Interval subsethood measures with respect to uncertainty for the interval-valued fuzzy setting
In this paper, the problem of measuring the degree of subsethood in the interval-valued fuzzy setting is addressed. Taking into account the widths of the intervals, two types of interval subsethood measures are proposed. ... -
Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards 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 particular case of the interval ... -
The law of O-conditionality for fuzzy implications constructed from overlap and grouping functions
(Elsevier, 2019) Artículo / ArtikuluaOverlap and grouping functions are special kinds of non necessarily associative aggregation operators proposed for many applications, mainly when the associativity property is not strongly required. The classes of overlap ... -
Local properties of strengthened ordered directional and other forms of monotonicity
In this study we discuss some of the recent generalized forms of monotonicity, introduced in the attempt of relaxing the monotonicity condition of aggregation functions. Specifically, we deal with weak, directional, ordered ... -
Mixture functions and their monotonicity
We consider mixture functions, which are a type of weighted averages for which the corresponding weights are calculated by means of appropriate continuous functions of their inputs. In general, these mixture function need ... -
Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface
Brain–computer interface technologies, such as steady-state visually evoked potential, P300, and motor imagery are methods of communication between the human brain and the external devices. Motor imagery–based brain–computer ... -
The null space of fuzzy inclusion measures
Some formal relationships between the different axiomatic definitions of inclusion measure are analysed. In particular, the links between the different proposals about the null-space (the collection of pairs associated ... -
On some classes of directionally monotone functions
(Elsevier, 2020) Artículo / ArtikuluaIn this work we consider some classes of functions with relaxed monotonicity conditions generalizing some other given classes of fusion functions. In particular, directionally increasing aggregation functions (called also ... -
Paired structures in knowledge representation
In this position paper we propose a consistent and unifying view to all those basic knowledge representation models that are based on the existence of two somehow opposite fuzzy concepts. A number of these basic models can ... -
T-overlap functions: a generalization of bivariate overlap functions by t-norms
This paper introduces a generalization of overlap functions by extending one of the boundary conditions of its definition. More specifically, instead of requiring that 'the considered function is equal to zero if and only ...