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 …
Survey and insights into unmanned aerial-vehicle-based detection and documentation of clandestine graves and human remains
abstract Numerous biological and archaeological studies have demonstrated the legitimacy
of remote sensing in anthropology. This article focuses on detecting and documenting …
of remote sensing in anthropology. This article focuses on detecting and documenting …
Modeling the uncertainty of information propagation for rumor detection: A neuro-fuzzy approach
Automatic rumor detection is critical for maintaining a healthy social media environment. The
mainstream methods generally learn rich features from information cascades by modeling …
mainstream methods generally learn rich features from information cascades by modeling …
Enabling explainable fusion in deep learning with fuzzy integral neural networks
Information fusion is an essential part of numerous engineering systems and biological
functions, eg, human cognition. Fusion occurs at many levels, ranging from the low-level …
functions, eg, human cognition. Fusion occurs at many levels, ranging from the low-level …
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing
In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in Remote Sensing. Despite the potential benefits of …
paradigm for knowledge extraction in Remote Sensing. Despite the potential benefits of …
Enhanced fusion of deep neural networks for classification of benchmark high-resolution image data sets
GJ Scott, KC Hagan, RA Marcum… - … and Remote Sensing …, 2018 - ieeexplore.ieee.org
Accurate land cover classification and detection of objects in high-resolution electro-optical
remote sensing imagery (RSI) have long been a challenging task. Recently, important new …
remote sensing imagery (RSI) have long been a challenging task. Recently, important new …
The Bonferroni mean-type pre-aggregation operators construction and generalization: Application to edge detection
In recent years, immense interest in the exploration of the generalized version of the
monotonicity condition has been significantly accomplished by the researchers. The …
monotonicity condition has been significantly accomplished by the researchers. The …
Learning with type-2 fuzzy activation functions to improve the performance of deep neural networks
A Beke, T Kumbasar - Engineering Applications of Artificial Intelligence, 2019 - Elsevier
In this study, we propose a novel Interval Type-2 (IT2) Fuzzy activation layer that is
composed of Single input IT2 (SIT2) Fuzzy Rectifying Units (FRUs) to improve the learning …
composed of Single input IT2 (SIT2) Fuzzy Rectifying Units (FRUs) to improve the learning …
[HTML][HTML] A fuzzy fusion rotating machinery fault diagnosis framework based on the enhancement deep convolutional neural networks
Some artificial intelligence algorithms have gained much attention in the rotating machinery
fault diagnosis due to their robust nonlinear regression properties. In addition, existing deep …
fault diagnosis due to their robust nonlinear regression properties. In addition, existing deep …
Introducing fuzzy layers for deep learning
SR Price, SR Price, DT Anderson - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Many state-of-the-art technologies developed in recent years have been influenced by
machine learning to some extent. Most popular at the time of this writing are artificial …
machine learning to some extent. Most popular at the time of this writing are artificial …