Results 271 to 280 of about 1,671,237 (334)

VISUALIZATION OF FUZZY CLASSIFIERS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007
This paper presents different techniques to visualize high-dimensional fuzzy rule bases in relation to the classified data. The degree of membership to influential rules can be visualized for an entire data set. This enables the observer to detect conflicting or error-prone rules as well as misclassified feature vectors.
Rehm, Frank, Klawonn, Frank, Kruse, Rudolf   +2 more
openaire   +2 more sources

A Novel Deep Fuzzy Classifier by Stacking Adversarial Interpretable TSK Fuzzy Sub-Classifiers With Smooth Gradient Information

IEEE transactions on fuzzy systems, 2020
Different from our previous stacked-structure-based deep fuzzy classifier, in this paper, we explore the distinctive role of adversarial outputs of training samples in enhancing the classification performance of a stacked-structure-based deep fuzzy ...
Suhang Gu, F. Chung, Shitong Wang
semanticscholar   +1 more source

Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers

IEEE transactions on fuzzy systems, 2020
Although high-order Takagi–Sugeno–Kang (TSK) fuzzy systems have demonstrated their computational advantages and simultaneously circumvent the weakness that the number of rules with the number of input variables and membership functions grows ...
Bin Qin, Y. Nojima, H. Ishibuchi, Shitong Wang   +3 more
semanticscholar   +1 more source

A Generalized Heterogeneous Type-2 Fuzzy Classifier and Its Industrial Application

IEEE transactions on fuzzy systems, 2020
Recently, evolving fuzzy systems have been proved to be effective in dealing with real-time data streams. However, their fixed structures are not flexible enough to address the structural variations triggered by the changing operating conditions or ...
Jun Zhao, Yang Liu, Linqing Wang, Wei Wang   +3 more
semanticscholar   +1 more source

Improved region growing segmentation for breast cancer detection: progression of optimized fuzzy classifier

International Journal of Intelligent Computing and Cybernetics, 2020
Breast cancer is one of the most common malignant tumors in women, which badly have an effect on women's physical and psychological health and even danger to life.
Rajeshwari S. Patil, Nagashettappa Biradar   +1 more
semanticscholar   +1 more source

An Intelligent Genetic Fuzzy Classifier for Transformer Faults

Journal of the Institution of Electronics and Telecommunication Engineers, 2020
Classification of faults in transformers with high accuracy is fundamental to ensuring good power quality with least interruptions. Our current work develops an intelligent genetic algorithm (GA)-tuned fuzzy classifier for transformer fault ...
A. Kukker, Rajneesh Sharma, H. Malik
semanticscholar   +1 more source

Fuzzy HMC classifiers

Information Sciences, 1996
In this study, we present a design strategy for hierarchical modular classifiers applicable to fuzzy and/or overlapping categories. The design includes techniques for decomposing a large-scale problem into a hierarchy of subproblems. A neural classification module is then designed for each of the subproblems.
William A. Porter, Wei Liu
openaire   +1 more source

A Comprehensive Adaptive Interpretable Takagi–Sugeno–Kang Fuzzy Classifier for Fatigue Driving Detection

IEEE transactions on fuzzy systems
Electroencephalogram (EEG) signals, as a reliable biological indicator, have been widely used in fatigue driving detection due to their capacity to reflect a driver's cognitive and neural response state.
Dongrui Gao, Shihong Liu, Yingxiang Gao, Pengrui Li, Haokai Zhang, Manqing Wang, Shen Yan, Lutao Wang, Yongqing Zhang   +8 more
semanticscholar   +1 more source

Fuzzy granular convolutional classifiers

Fuzzy Sets and Systems, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Yumin, Zhu, Shunzhi, Li, Wei, Qin, Nan   +3 more
openaire   +2 more sources

Fuzzy Integral-Based CNN Classifier Fusion for 3D Skeleton Action Recognition

IEEE transactions on circuits and systems for video technology (Print), 2021
Action recognition based on skeleton key joints has gained popularity due to its cost effectiveness and low complexity. Existing Convolutional Neural Network (CNN) based models mostly fail to capture various aspects of the skeleton sequence. To this end,
Avinandan Banerjee, P. Singh, R. Sarkar
semanticscholar   +1 more source