TY - GEN
T1 - Extracting fuzzy rules and parameters using particle swarm optimization for rainfall forecasting
AU - Fatyanosa, Tirana Noor
AU - Alfarisy, Gusti Ahmad Fanshuri
AU - Ramdani, Fatwa
AU - Mahmudy, Wayan Firdaus
AU - Soebroto, Arief Andy
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - This paper deals with rainfall forecasting using rainfall data which taken from Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG) and Oceanic Niño Index (ONI) data from NOAA Satellite and Information Service for Karangploso district. This paper proposes a Fuzzy Takagi-Sugeno-Kang rules and parameters extracting from Particle Swarm Optimization (PSO) for rainfall forecasting. The novel of fuzzy rules and parameters extracting from PSO is used to obtain the rules and parameters within the data. Therefore, we able to obtain better accuracy. The experiment results demonstrate that the proposed solution able to obtain better accuracy. These results have proved the robustness of the proposed solution.
AB - This paper deals with rainfall forecasting using rainfall data which taken from Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG) and Oceanic Niño Index (ONI) data from NOAA Satellite and Information Service for Karangploso district. This paper proposes a Fuzzy Takagi-Sugeno-Kang rules and parameters extracting from Particle Swarm Optimization (PSO) for rainfall forecasting. The novel of fuzzy rules and parameters extracting from PSO is used to obtain the rules and parameters within the data. Therefore, we able to obtain better accuracy. The experiment results demonstrate that the proposed solution able to obtain better accuracy. These results have proved the robustness of the proposed solution.
KW - fuzzy takagi-sugeno-kang
KW - particle swarm optimization
KW - rainfall forecasting
UR - https://www.scopus.com/pages/publications/85051127767
U2 - 10.1109/ICACSIS.2017.8355056
DO - 10.1109/ICACSIS.2017.8355056
M3 - Conference contribution
AN - SCOPUS:85051127767
T3 - 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
SP - 339
EP - 344
BT - 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
Y2 - 28 October 2017 through 29 October 2017
ER -