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The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions
GP Dimuro, J Fernández, B Bedregal, R Mesiar… - Information …, 2020 - Elsevier
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
G Lucca, JA Sanz, GP Dimuro, B Bedregal… - Knowledge-Based …, 2017 - Elsevier
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 …
Preaggregation functions: Construction and an application
In this paper, we introduce the notion of preaggregation function. Such a function satisfies
the same boundary conditions as an aggregation function, but, instead of requiring …
the same boundary conditions as an aggregation function, but, instead of requiring …
A novel hybrid method of lithology identification based on k-means++ algorithm and fuzzy decision tree
Lithology identification methods based on conventional logging data are essential in
reservoir geological evaluation. Due to the highly non-linear relationship between lithology …
reservoir geological evaluation. Due to the highly non-linear relationship between lithology …
CF-integrals: A new family of pre-aggregation functions with application to fuzzy rule-based classification systems
G Lucca, JA Sanz, GP Dimuro, B Bedregal… - Information …, 2018 - Elsevier
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
L De Miguel, D Gómez, JT Rodríguez, J Montero… - Fuzzy Sets and …, 2019 - Elsevier
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 …
Multi-class imbalanced enterprise credit evaluation based on asymmetric bagging combined with light gradient boosting machine
Most existing research on multi-class imbalanced enterprise credit evaluation modeling has
been built on data-level imbalance processing methods and single classifier approaches …
been built on data-level imbalance processing methods and single classifier approaches …
[HTML][HTML] QL-operations and QL-implication functions constructed from tuples (O, G, N) and the generation of fuzzy subsethood and entropy measures
GP Dimuro, B Bedregal, H Bustince, A Jurio… - International Journal of …, 2017 - Elsevier
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 …
MPCE: a maximum probability based cross entropy loss function for neural network classification
Y Zhou, X Wang, M Zhang, J Zhu, R Zheng… - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, multi-classifier learning is of significant interest in industrial and economic
fields. Moreover, neural network is a popular approach in multi-classifier learning. However …
fields. Moreover, neural network is a popular approach in multi-classifier learning. However …
An imbalanced multifault diagnosis method based on bias weights AdaBoost
X Jiang, Y Xu, W Ke, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fault diagnosis plays an important role in ensuring process safety. It is noted that imbalance
between fault data and normal data always exists, and multifault obviously outranges a …
between fault data and normal data always exists, and multifault obviously outranges a …