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 …
A new multi-classifier ensemble algorithm based on DS evidence theory
K Zhao, L Li, Z Chen, R Sun, G Yuan, J Li - Neural Processing Letters, 2022 - Springer
Classifier ensemble is an important research content of ensemble learning, which combines
several base classifiers to achieve better performance. However, the ensemble strategy …
several base classifiers to achieve better performance. However, the ensemble strategy …
CCE: An ensemble architecture based on coupled ANN for solving multiclass problems
MP Sesmero, JM Alonso-Weber, A Sanchis - Information Fusion, 2020 - Elsevier
The resolution of multiclass classification problems has been usually addressed by using a
“divide and conquer” strategy that splits the original problem into several binary …
“divide and conquer” strategy that splits the original problem into several binary …
Behaviour-Based Trust Assessment in the Internet of Things Systems Using Multi-Classifier Ensemble Learning and Dempster-Shafer Fusion
With the rapid proliferation of Internet of Things (IoT) systems, robust trust management has
become imperative to ensure security in these environments. Prior machine learning …
become imperative to ensure security in these environments. Prior machine learning …
Fuzzy integral driven ensemble classification using a priori fuzzy measures
Aggregation operators are mathematical functions that enable the fusion of information from
multiple sources. Fuzzy Integrals (FIs) are widely used aggregation operators, which …
multiple sources. Fuzzy Integrals (FIs) are widely used aggregation operators, which …
[PDF][PDF] Ensemble Classification using A Priori Fuzzy Measures. In: IEEE International Conference on Fuzzy Systems. 2019-J. IEEE
Aggregation operators are mathematical functions that enable the fusion of information from
multiple sources. Fuzzy Integrals (FIs) are widely used aggregation operators, which …
multiple sources. Fuzzy Integrals (FIs) are widely used aggregation operators, which …
An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification
The design of an ensemble of classifiers involves the definition of an aggregation
mechanism that produces a single response obtained from the information provided by the …
mechanism that produces a single response obtained from the information provided by the …
[引用][C] An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification
MX Uriz Martín, D Paternain Dallo… - 2020 IEEE International …, 2020 - IEEE