Research Article

A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm

Table 3

The memberships of the observations to clusters are obtained from FCM algorithm in Step 1.

YearsCluster 1Cluster 2Cluster 3Cluster 4Cluster 5Cluster 6Cluster 7

19710,88890,04240,02790,01900,01130,00620,0043
19720,99250,00320,00190,00120,00060,00030,0002
19730,80720,09320,04780,02740,01370,00650,0043
19740,04860,75700,12450,04460,01570,00600,0036
19750,00000,00010,99980,00010,00000,00000,0000
19760,00480,17160,77570,03780,00690,00200,0011
19770,00390,04850,79930,13280,01140,00270,0014
19780,00170,01350,06010,91160,01040,00190,0009
19790,00010,00030,00050,00130,99710,00050,0002
19800,00050,00180,00300,00710,98210,00420,0013
19810,00930,04090,09000,43780,38690,02490,0103
19820,00010,00270,99500,00180,00030,00010,0000
19830,00040,00700,98350,00780,00090,00020,0001
19840,00570,79770,16470,02360,00550,00170,0010
19850,00660,73670,21790,02900,00660,00210,0012
19860,00010,00040,00130,99770,00050,00010,0000
19870,00000,00010,00020,00060,99870,00030,0001
19880,00000,00000,00000,00000,00010,99970,0001
19890,00100,00180,00230,00320,00630,04380,9416
19900,00090,00170,00220,00290,00520,02390,9632
19910,00100,00190,00240,00310,00570,02580,9601
19920,00210,00410,00520,00720,01470,11960,8472