Research Article
An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization
Table 4
The memberships of the observations obtained from FCM algorithm in Step
1.
| Years | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 | Cluster 6 | Cluster 7 |
| 1971 | 0.8768 | 0.0528 | 0.0265 | 0.0176 | 0.0127 | 0.0097 | 0.0039 | 1972 | 0.9839 | 0.0083 | 0.0032 | 0.0019 | 0.0013 | 0.0010 | 0.0004 | 1973 | 0.7128 | 0.1709 | 0.0519 | 0.0286 | 0.0183 | 0.0130 | 0.0044 | 1974 | 0.0000 | 0.9999 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 1975 | 0.0015 | 0.0107 | 0.9463 | 0.0312 | 0.0068 | 0.0030 | 0.0005 | 1976 | 0.0013 | 0.0121 | 0.9679 | 0.0128 | 0.0037 | 0.0018 | 0.0003 | 1977 | 0.0063 | 0.0354 | 0.5767 | 0.3178 | 0.0440 | 0.0174 | 0.0024 | 1978 | 0.0003 | 0.0014 | 0.0079 | 0.9824 | 0.0060 | 0.0017 | 0.0002 | 1979 | 0.0006 | 0.0014 | 0.0031 | 0.0078 | 0.0410 | 0.9448 | 0.0012 | 1980 | 0.0001 | 0.0002 | 0.0004 | 0.0009 | 0.0035 | 0.9948 | 0.0002 | 1981 | 0.0001 | 0.0002 | 0.0006 | 0.0026 | 0.9939 | 0.0025 | 0.0001 | 1982 | 0.0007 | 0.0052 | 0.9769 | 0.0127 | 0.0029 | 0.0013 | 0.0002 | 1983 | 0.0029 | 0.0193 | 0.8823 | 0.0737 | 0.0146 | 0.0063 | 0.0010 | 1984 | 0.0133 | 0.1919 | 0.6905 | 0.0658 | 0.0236 | 0.0125 | 0.0025 | 1985 | 0.0118 | 0.1599 | 0.7306 | 0.0622 | 0.0219 | 0.0115 | 0.0022 | 1986 | 0.0009 | 0.0036 | 0.0163 | 0.9388 | 0.0324 | 0.0073 | 0.0006 | 1987 | 0.0001 | 0.0002 | 0.0004 | 0.0010 | 0.0045 | 0.9936 | 0.0002 | 1988 | 0.0176 | 0.0325 | 0.0504 | 0.0767 | 0.1281 | 0.2432 | 0.4516 | 1989 | 0.0004 | 0.0006 | 0.0009 | 0.0012 | 0.0017 | 0.0025 | 0.9928 | 1990 | 0.0018 | 0.0029 | 0.0040 | 0.0053 | 0.0073 | 0.0104 | 0.9684 | 1991 | 0.0019 | 0.0031 | 0.0042 | 0.0056 | 0.0077 | 0.0110 | 0.9664 | 1992 | 0.0013 | 0.0022 | 0.0032 | 0.0044 | 0.0064 | 0.0098 | 0.9728 |
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