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ORCIDKiyohiko Uehara
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2020 – today
- 2021
[j23]Kiyohiko Uehara, Kaoru Hirota:
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 25(2): 213-225 (2021)
2010 – 2019
- 2019
- [j22]Kiyohiko Uehara, Kaoru Hirota:
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 23(6): 1027-1043 (2019) - 2018
- [j21]Kiyohiko Uehara, Kaoru Hirota:
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 22(6): 883-899 (2018) - 2017
- [j20]Kiyohiko Uehara, Kaoru Hirota:
Fuzzy Inference: Its Past and Prospects. J. Adv. Comput. Intell. Intell. Informatics 21(1): 13-19 (2017) - [j19]Kiyohiko Uehara, Kaoru Hirota:
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 21(3): 425-447 (2017) - [j18]Kiyohiko Uehara, Kaoru Hirota:
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 21(4): 597-615 (2017) - 2016
- [j17]Kiyohiko Uehara, Kaoru Hirota:
Multi-Level Control of Fuzzy-Constraint Propagation via Evaluations with Linguistic Truth Values in Generalized-Mean-Based Inference. J. Adv. Comput. Intell. Intell. Informatics 20(2): 355-377 (2016) - 2015
- [j16]Kiyohiko Uehara, Kaoru Hirota:
Inference with Fuzzy Rule Interpolation at an Infinite Number of Activating Points. J. Adv. Comput. Intell. Intell. Informatics 19(1): 74-90 (2015) - 2013
- [j15]Kiyohiko Uehara, Kaoru Hirota:
Infinite-Level Interpolation for Inference with Sparse Fuzzy Rules: Fundamental Analysis Toward Practical Use. J. Adv. Comput. Intell. Intell. Informatics 17(1): 44-59 (2013) - [j14]Kiyohiko Uehara, Kaoru Hirota:
Multi-Level Interpolation for Inference with Sparse Fuzzy Rules: An Extended Way of Generating Multi-Level Points. J. Adv. Comput. Intell. Intell. Informatics 17(2): 127-148 (2013) - [j13]Kiyohiko Uehara, Kaoru Hirota:
Multi-Level Control of Fuzzy-Constraint Propagation in Inference Based on α-Cuts and Generalized Mean. J. Adv. Comput. Intell. Intell. Informatics 17(4): 647-662 (2013) - 2011
- [j12]Kiyohiko Uehara, Shun Sato, Kaoru Hirota:
Inference for Nonlinear Mapping with Sparse Fuzzy Rules Based on Multi-Level Interpolation. J. Adv. Comput. Intell. Intell. Informatics 15(3): 264-287 (2011) - 2010
- [j11]Kiyohiko Uehara, Takumi Koyama, Kaoru Hirota:
Inference Based on alpha-Cut and Generalized Mean with Fuzzy Tautological Rules. J. Adv. Comput. Intell. Intell. Informatics 14(1): 76-88 (2010) - [j10]Kiyohiko Uehara, Takumi Koyama, Kaoru Hirota:
Suppression Effect of alpha-Cut Based Inference on Consequence Deviations. J. Adv. Comput. Intell. Intell. Informatics 14(3): 256-271 (2010) - [j9]Kiyohiko Uehara, Takumi Koyama, Kaoru Hirota:
Inference Based on ά-Cut and Generalized Mean in Representing Fuzzy-Valued Functions. J. Adv. Comput. Intell. Intell. Informatics 14(6): 581-592 (2010)
2000 – 2009
- 2009
- [j8]Kiyohiko Uehara, Takumi Koyama, Kaoru Hirota:
Fuzzy Inference with Schemes for Guaranteeing Convexity and Symmetricity in Consequences Based on alpha-Cuts. J. Adv. Comput. Intell. Intell. Informatics 13(2): 135-149 (2009) - [j7]Kiyohiko Uehara, Takumi Koyama, Kaoru Hirota:
Inference with Governing Schemes for Propagation of Fuzzy Convex Constraints Based on alpha-Cuts. J. Adv. Comput. Intell. Intell. Informatics 13(3): 321-330 (2009)
1990 – 1999
- 1998
- [j6]Kiyohiko Uehara, Kaoru Hirota:
Parallel and Multistage Fuzzy Inference Based on Families of alpha-level sets. Inf. Sci. 106(1-2): 159-195 (1998) - 1997
- [j5]Kiyohiko Uehara, Kaoru Hirota:
Parallel Fuzzy Inference Based on alpha-Level Sets and Generalized Means. Inf. Sci. 100(1-4): 165-206 (1997) - [j4]Kiyohiko Uehara, Kaoru Hirota:
Fuzzy Inference Based Connection Admission Control in ATM Networks. J. Adv. Comput. Intell. Intell. Informatics 1(1): 14-22 (1997) - [j3]Kiyohiko Uehara, Kaoru Hirota:
Fuzzy Connection Admission Control for ATM Networks Based on Possibility Distribution of Cell Loss Ratio. IEEE J. Sel. Areas Commun. 15(2): 179-190 (1997) - 1993
- [j2]Kiyohiko Uehara, Masayuki Fujise:
Fuzzy inference based on families of α-level sets. IEEE Trans. Fuzzy Syst. 1(2): 111-124 (1993) - [j1]Kiyohiko Uehara, Masayuki Fujise:
Multistage fuzzy inference formulated as linguistic-truth-value propagation and its learning algorithm based on back-propagating error information. IEEE Trans. Fuzzy Syst. 1(3): 205-221 (1993)
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