Kiyohiko Uehara
According to our database1,
Kiyohiko Uehara
authored at least 23 papers
between 1993 and 2021.
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Bibliography
2021
A Fast Method for Fuzzy Rules Learning with Derivative-Free Optimization by Formulating Independent Evaluations of Each Fuzzy Rule.
J. Adv. Comput. Intell. Intell. Informatics, 2021
2019
Noise Reduction with Fuzzy Inference Based on Generalized Mean and Singleton Input-Output Rules: Toward Fuzzy Rule Learning in a Unified Inference Platform.
J. Adv. Comput. Intell. Intell. Informatics, 2019
2018
Noise Reduction with Inference Based on Fuzzy Rule Interpolation at an Infinite Number of Activating Points: Toward Fuzzy Rule Learning in a Unified Inference Platform.
J. Adv. Comput. Intell. Intell. Informatics, 2018
2017
Fuzzy Inference Based on α-Cuts and Generalized Mean: Relations Between the Methods in its Family and their Unified Platform.
J. Adv. Comput. Intell. Intell. Informatics, 2017
Multi-Level Control of Fuzzy-Constraint Propagation in Inference with Fuzzy Rule Interpolation at an Infinite Number of Activating Points.
J. Adv. Comput. Intell. Intell. Informatics, 2017
J. Adv. Comput. Intell. Intell. Informatics, 2017
2016
Multi-Level Control of Fuzzy-Constraint Propagation via Evaluations with Linguistic Truth Values in Generalized-Mean-Based Inference.
J. Adv. Comput. Intell. Intell. Informatics, 2016
2015
J. Adv. Comput. Intell. Intell. Informatics, 2015
2013
Multi-Level Control of Fuzzy-Constraint Propagation in Inference Based on α-Cuts and Generalized Mean.
J. Adv. Comput. Intell. Intell. Informatics, 2013
Multi-Level Interpolation for Inference with Sparse Fuzzy Rules: An Extended Way of Generating Multi-Level Points.
J. Adv. Comput. Intell. Intell. Informatics, 2013
Infinite-Level Interpolation for Inference with Sparse Fuzzy Rules: Fundamental Analysis Toward Practical Use.
J. Adv. Comput. Intell. Intell. Informatics, 2013
2011
Inference for Nonlinear Mapping with Sparse Fuzzy Rules Based on Multi-Level Interpolation.
J. Adv. Comput. Intell. Intell. Informatics, 2011
2010
Inference Based on ά-Cut and Generalized Mean in Representing Fuzzy-Valued Functions.
J. Adv. Comput. Intell. Intell. Informatics, 2010
J. Adv. Comput. Intell. Intell. Informatics, 2010
J. Adv. Comput. Intell. Intell. Informatics, 2010
2009
Inference with Governing Schemes for Propagation of Fuzzy Convex Constraints Based on alpha-Cuts.
J. Adv. Comput. Intell. Intell. Informatics, 2009
Fuzzy Inference with Schemes for Guaranteeing Convexity and Symmetricity in Consequences Based on alpha-Cuts.
J. Adv. Comput. Intell. Intell. Informatics, 2009
1998
Inf. Sci., 1998
1997
Fuzzy Connection Admission Control for ATM Networks Based on Possibility Distribution of Cell Loss Ratio.
IEEE J. Sel. Areas Commun., 1997
J. Adv. Comput. Intell. Intell. Informatics, 1997
Inf. Sci., 1997
1993
Multistage fuzzy inference formulated as linguistic-truth-value propagation and its learning algorithm based on back-propagating error information.
IEEE Trans. Fuzzy Syst., 1993