Related references
Note: Only part of the references are listed.Distributed Soft Fault Detection for Interval Type-2 Fuzzy-Model-Based Stochastic Systems With Wireless Sensor Networks
Yabin Gao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Augmentation of rule-based models with a granular quantification of results
Ye Cui et al.
SOFT COMPUTING (2019)
Granular computing-based approach of rule learning for binary classification
Han Liu et al.
GRANULAR COMPUTING (2019)
Granular Representation of Data: A Design of Families of epsilon-Information Granules
Xiubin Zhu et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
Granular Models and Granular Outliers
Xiubin Zhu et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
A Design of Granular Takagi-Sugeno Fuzzy Model Through the Synergy of Fuzzy Subspace Clustering and Optimal Allocation of Information Granularity
Xiubin Zhu et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
Bayesian Takagi-Sugeno-Kang Fuzzy Model and Its Joint Learning of Structure Identification and Parameter Estimation
Xiaoqing Gu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
CORRECTION OF MODEL REDUCTION ERRORS IN SIMULATIONS
A. Lipponen et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2018)
Fuzzy rule-based systems for recognition-intensive classification in granular computing context
Han Liu et al.
GRANULAR COMPUTING (2018)
Optimization of modular granular neural networks using a firefly algorithm for human recognition
Daniela Sanchez et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)
Some new qualitative insights into quality of fuzzy rule-based models
Jeremy Kerr-Wilson et al.
FUZZY SETS AND SYSTEMS (2017)
Granular Encoders and Decoders: A Study in Processing Information Granules
Xiubin Zhu et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)
Reliable Filter Design for Sensor Networks Using Type-2 Fuzzy Framework
Jianxing Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)
Granular Data Description: Designing Ellipsoidal Information Granules
Xiubin Zhu et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Fuzzy clustering with nonlinearly transformed data
Xiubin Zhu et al.
APPLIED SOFT COMPUTING (2017)
The development of granular rule-based systems: a study in structural model compression
Sharifah Sakinah Syed Ahmad et al.
GRANULAR COMPUTING (2017)
Parametric testing statistical hypotheses for fuzzy random variables
Gholamreza Hesamian et al.
SOFT COMPUTING (2016)
A generalized type-2 fuzzy granular approach with applications to aerospace
Oscar Castillo et al.
INFORMATION SCIENCES (2016)
Bias and variance correction of sea surface temperatures used for dynamical downscaling
P. Hoffmann et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2016)
Multi-objective evolutionary design of granular rule-based classifiers
Michela Antonelli et al.
GRANULAR COMPUTING (2016)
Evolving granular analytics for interval time series forecasting
Leandro Maciel et al.
GRANULAR COMPUTING (2016)
Rule-based systems: a granular computing perspective
Han Liu et al.
GRANULAR COMPUTING (2016)
Information granule formation via the concept of uncertainty-based information with Interval Type-2 Fuzzy Sets representation and Takagi-Sugeno-Kang consequents optimized with Cuckoo search
Mauricio A. Sanchez et al.
APPLIED SOFT COMPUTING (2015)
Pattern-Aided Regression Modeling and Prediction Model Analysis
Guozhu Dong et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2015)
Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control
Leticia Cervantes et al.
INFORMATION SCIENCES (2015)
A general method for third-order bias and variance corrections on a nonlinear estimator
Zhenlin Yang
JOURNAL OF ECONOMETRICS (2015)
Optimization of modular granular neural networks using hierarchical genetic algorithms for human recognition using the ear biometric measure
Daniela Sanchez et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2014)
Cluster-Centric Fuzzy Modeling
Witold Pedrycz et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2014)
Empirical prediction intervals revisited
Yun Shin Lee et al.
INTERNATIONAL JOURNAL OF FORECASTING (2014)
The Design of Free Structure Granular Mappings: The Use of the Principle of Justifiable Granularity
Witold Pedrycz et al.
IEEE TRANSACTIONS ON CYBERNETICS (2013)
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression
Kris De Brabanter et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
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)
Reliable prediction intervals with regression neural networks
Harris Papadopoulos et al.
NEURAL NETWORKS (2011)
Empirical confidence intervals for USDA commodity price forecasts
Olga Isengildina-Massa et al.
APPLIED ECONOMICS (2011)
Prediction intervals for regression models
David J. Olive
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2007)
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
Hisao Ishibuchi et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2007)
Toward a generalized theory of uncertainty (GTU) - an outline
LA Zadeh
INFORMATION SCIENCES (2005)
Share Paper
