NMR: unique strengths that enhance modern metabolomics research
Nuclear magnetic resonance (NMR) spectroscopy is an important analytical technique in
metabolomics. Because it provides atomic-level detail of small molecules, NMR is …
metabolomics. Because it provides atomic-level detail of small molecules, NMR is …
Robust hybrid deep learning models for Alzheimer's progression detection
The prevalence of Alzheimer's disease (AD) in the growing elderly population makes
accurately predicting AD progression crucial. Due to AD's complex etiology and …
accurately predicting AD progression crucial. Due to AD's complex etiology and …
CC-integrals: Choquet-like copula-based aggregation functions and its application in fuzzy rule-based classification systems
This paper introduces the concept of Choquet-like Copula-based aggregation function (CC-
integral) and its application in fuzzy rule-based classification systems. The standard …
integral) and its application in fuzzy rule-based classification systems. The standard …
CF-integrals: A new family of pre-aggregation functions with application to fuzzy rule-based classification systems
This paper introduces the family of C F-integrals, which are pre-aggregations functions that
generalizes the Choquet integral considering a bivariate function F that is left 0-absorbent …
generalizes the Choquet integral considering a bivariate function F that is left 0-absorbent …
General overlap functions
As a generalization of bivariate overlap functions, which measure the degree of overlap**
(intersection for non-crisp sets) of n different classes, in this paper we introduce the concept …
(intersection for non-crisp sets) of n different classes, in this paper we introduce the concept …
[HTML][HTML] QL-operations and QL-implication functions constructed from tuples (O, G, N) and the generation of fuzzy subsethood and entropy measures
Considering the important role played by overlap and grou** functions in several
applications in which associativity is not demanded, in this paper we introduce the notion of …
applications in which associativity is not demanded, in this paper we introduce the notion of …
On interval additive generators of interval overlap functions and interval grou** functions
J Qiao, BQ Hu - Fuzzy Sets and Systems, 2017 - Elsevier
Overlap and grou** functions have been proposed by Bustince et al. for applications in
image processing, classification problems and decision making based on fuzzy preference …
image processing, classification problems and decision making based on fuzzy preference …
Motor-imagery-based brain–computer interface using signal derivation and aggregation functions
Brain–computer interface (BCI) technologies are popular methods of communication
between the human brain and external devices. One of the most popular approaches to BCI …
between the human brain and external devices. One of the most popular approaches to BCI …
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems
The aim of this paper is to propose a consensus method via penalty functions for decision
making in ensembles of fuzzy rule-based classification systems (FRBCSs). For that, we first …
making in ensembles of fuzzy rule-based classification systems (FRBCSs). For that, we first …
Landslide susceptibility map** at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm
Landslide susceptibility map is considered as one of the important steps in assessing
vulnerability of an area to landslide hazard. In this study, the main objective is to propose …
vulnerability of an area to landslide hazard. In this study, the main objective is to propose …