A review of the relationships between implication, negation and aggregation functions from the point of view of material implication
Implication and aggregation functions play important complementary roles in the field of
fuzzy logic. Both have been intensively investigated since the early 1980s, revealing a tight …
fuzzy logic. Both have been intensively investigated since the early 1980s, revealing a tight …
The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions
In 2013, Barrenechea et al. used the Choquet integral as an aggregation function in the
fuzzy reasoning method (FRM) of fuzzy rule-based classification systems. After that, starting …
fuzzy reasoning method (FRM) of fuzzy rule-based classification systems. After that, starting …
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 …
Improving the Performance of Fuzzy Rule-Based Classification Systems Based on a Nonaveraging Generalization of CC-Integrals Named -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 …
method (FRM) since it infers the class predicted for new examples. A crucial stage in any …
Constructing multi-layer classifier ensembles using the Choquet integral based on overlap and quasi-overlap functions
Ensembles of classifiers have been receiving much attention lately, they consist of a
collection of classifiers that process the same information and their output is combined in …
collection of classifiers that process the same information and their output is combined in …
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 …
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 …
and motor imagery are methods of communication between the human brain and the …
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 …
Generalized CF1F2-integrals: from Choquet-like aggregation to ordered directionally monotone functions
This paper introduces the theoretical framework for a generalization of CF 1 F 2-integrals, a
family of Choquet-like integrals used successfully in the aggregation process of the fuzzy …
family of Choquet-like integrals used successfully in the aggregation process of the fuzzy …