4.8 Article

A Concise TSK Fuzzy Ensemble Classifier Integrating Dropout and Bagging for High-Dimensional Problems

Related references

Note: Only part of the references are listed.
Review Computer Science, Artificial Intelligence

Extract interpretability-accuracy balanced rules from artificial neural networks: A review

Congjie He et al.

NEUROCOMPUTING (2020)

Article Computer Science, Artificial Intelligence

Optimize TSK Fuzzy Systems for Classification Problems: Minibatch Gradient Descent With Uniform Regularization and Batch Normalization

Yuqi Cui et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Interpretable Deep Convolutional Fuzzy Classifier

Mojtaba Yeganejou et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Review Computer Science, Artificial Intelligence

Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

Dervis Karaboga et al.

ARTIFICIAL INTELLIGENCE REVIEW (2019)

Article Meteorology & Atmospheric Sciences

Clustered ANFIS network using fuzzy c-means, subtractive clustering, and grid partitioning for hourly solar radiation forecasting

Khalil Benmouiza et al.

THEORETICAL AND APPLIED CLIMATOLOGY (2019)

Article Computer Science, Artificial Intelligence

Random ensemble of fuzzy rule-based models

Xingchen Hu et al.

KNOWLEDGE-BASED SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning

Peng Xu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Data-Driven Elastic Fuzzy Logic System Modeling: Constructing a Concise System With Human-Like Inference Mechanism

Jiangbin Zhang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)

Article Computer Science, Information Systems

Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System

Gunasekaran Manogaran et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2018)

Article Computer Science, Artificial Intelligence

A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification

Yue Deng et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)

Article Computer Science, Information Systems

Fast image classification, by boosting fuzzy classifiers

Marcin Korytkowski et al.

INFORMATION SCIENCES (2016)

Review Computer Science, Artificial Intelligence

A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition

Patricia Melin et al.

APPLIED SOFT COMPUTING (2014)

Article Automation & Control Systems

Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS

C. K. Lau et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

FINGRAMS: Visual Representations of Fuzzy Rule-Based Inference for Expert Analysis of Comprehensibility

David P. Pancho et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

Hierarchical Structured Sparse Representation for T-S Fuzzy Systems Identification

Minnan Luo et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-Based Multiclassifiers

Krzysztof Trawinski et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

Scalable TSK Fuzzy Modeling for Very Large Datasets Using Minimal-Enclosing-Ball Approximation

Zhaohong Deng et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2011)

Article Computer Science, Information Systems

Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures

M. J. Gacto et al.

INFORMATION SCIENCES (2011)

Review Computer Science, Artificial Intelligence

A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

Oscar Cordon

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2011)

Article Computer Science, Artificial Intelligence

Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems

Maria Jose Gacto et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2010)

Article Computer Science, Artificial Intelligence

SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints

Edwin Lughofer et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2010)

Article Computer Science, Artificial Intelligence

Enhanced soft subspace clustering integrating within-cluster and between-cluster information

Zhaohong Deng et al.

PATTERN RECOGNITION (2010)

Article Automation & Control Systems

Total least squares in fuzzy system identification: An application to an industrial engine

Stefan Jakubek et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2008)

Article Computer Science, Theory & Methods

Building an interpretable fuzzy rule base from data using orthogonal least squares - Application to a depollution problem

Sebastien Destercke et al.

FUZZY SETS AND SYSTEMS (2007)

Article Computer Science, Artificial Intelligence

Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction

J Casillas et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2005)

Review Computer Science, Theory & Methods

Ten years of genetic fuzzy systems: current framework and new trends

O Cordon et al.

FUZZY SETS AND SYSTEMS (2004)

Article Automation & Control Systems

Constraining the optimization of a fuzzy logic controller using an enhanced genetic algorithm

F Cheong et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2000)