Items where IIASA Author is "Ryoke, Mina"

Ryoke, M., Nakamori, Y., Heyes, C. ORCID: https://orcid.org/0000-0001-5254-493X, Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972 & Schoepp, W. ORCID: https://orcid.org/0000-0001-5990-423X (2000). A Simplified Ozone Model Based on Fuzzy Rules Generation. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-00-007. Reprinted from European Journal of Operations Research, 122:440-451 [2000].

Ryoke, M., Nakamori, Y., Heyes, C. ORCID: https://orcid.org/0000-0001-5254-493X, Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972 & Schoepp, W. ORCID: https://orcid.org/0000-0001-5990-423X (2000). A simplified ozone model based on fuzzy rules generation. European Journal of Operational Research 122 (2), 440-451. 10.1016/S0377-2217(99)00245-3.

Ryoke, M. (1996). Fuzzy Rule Generation from the EMEP Ozone Model to Examine Source-Receptor Relations. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-96-130

Ryoke, M., Tamura, H. & Nakamori, Y. (1996). Fuzzy modeling through adaptive fuzzy clustering. In: Proceedings of EUFIT'96 - 4th European Congress on Intelligent Techniques and Soft Computing, 2-5 September 1996.

Ryoke, M., Tamura, H. & Nakamori, Y. (1996). Fuzzy rule generation by hyperellipsoidal clustering. In: Proceedings of IIZUKA'96 - The Fourth International Conference on Soft Computing, 30 September - 5 October 1996.

Nakamori, Y. & Ryoke, M. (1994). Identification of fuzzy prediction models through hyperellipsoidal clustering. IEEE Transactions on Systems, Man and Cybernetics 24 (8), 1153-1173. 10.1109/21.299699.