Affiliation:
1. Osaka Metropolitan University
Funder
Japan Society for the Promotion of Science
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Reference8 articles.
1. [1] H. Ishibuchi, T. Nakashima, and M. Nii: Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining, Springer Science & Business Media, 2004.
2. [2] M. Fazzolari, R. Alcala, Y. Nojima, H. Ishibuchi, and F. Herrera: “A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions,” IEEE Trans. on Fuzzy Systems, Vol.21, No.1, pp. 45-65, 2013.
3. [3] H. Ishibuchi and Y. Nojima:“Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning,” Int. J. of Approximate Reasoning, Vol.44, No.1, pp. 4-31, 2007.
4. [4] T. Konishi, N. Masuyama, and Y. Nojima:“Effects of accuracy-based single-objective optimization in multiobjective fuzzy genetics-based machine learning,” Proc. of 2022 Joint 12th Int. Conf. on Soft Computing and Intelligent Systems and 23rd Int. Symp. on Advanced Intelligent Systems, pp. 1-6, 2022.
5. [5] 小西豪, 増山直輝, 能島裕介: “アーカイブ個体群を用いた2段階ファジィ遺伝的機械学習の検討,”第39回ファジィシステムシンポジウム講演論文集,2023.