模糊识别分析

文本框录入在线表格录入（Tab键横向，方向键(↓)键纵向）

你可将word，excel表的数据直接拷入左边的文本框内，按提交进行计算。

Succeed for sample data!
R(1):

1,0.3662,0.1509,0.6186,0.4767,0.1667,0.0217,0.1176,0.0625,

0.6338, 1,0.2353,0.7374,0.6119,0.2571,0.037,0.1875,0.1034,

0.8491,0.7647, 1,0.9012,0.8367,0.5294,0.1111,0.4286,0.2727,

0.3814,0.2626,0.0988, 1,0.3596,0.1098,0.0135,0.0759,0.0395,

0.5233,0.3881,0.1633,0.6404, 1,0.18,0.0238,0.1277,0.0682,

0.8333,0.7429,0.4706,0.8902,0.82, 1,0.1,0.4,0.25,

0.9783,0.963,0.8889,0.9865,0.9762,0.9, 1,0.8571,0.75,

0.8824,0.8125,0.5714,0.9241,0.8723,0.6,0.1429, 1,0.3333,

0.9375,0.8966,0.7273,0.9605,0.9318,0.75,0.25,0.6667, 1,

R(2):

1,0.335,0.1093,0.7664,0.2064,0.3276,0.0746,0.1165,0.1851,

0.665, 1,0.1959,0.8669,0.3405,0.4917,0.1379,0.2075,0.3108,

0.8907,0.8041, 1,0.9639,0.6794,0.7988,0.3964,0.518,0.6492,

0.2336,0.1331,0.0361, 1,0.0735,0.1293,0.024,0.0386,0.0648,

0.7936,0.6595,0.3206,0.9265, 1,0.652,0.2366,0.3364,0.4662,

0.6724,0.5083,0.2012,0.8707,0.348, 1,0.1419,0.213,0.3179,

0.9254,0.8621,0.6036,0.976,0.7634,0.8581, 1,0.6207,0.7381,

0.8835,0.7925,0.482,0.9614,0.6636,0.787,0.3793, 1,0.6327,

0.8149,0.6892,0.3508,0.9352,0.5338,0.6821,0.2619,0.3673, 1,

R(3):

1,0.5604,0.1552,0.3012,0.0573,0.1329,0.116,0.0961,0.0658,

0.4396, 1,0.1259,0.2526,0.0455,0.1074,0.0933,0.077,0.0524,

0.8448,0.8741, 1,0.7011,0.2486,0.4549,0.4167,0.3667,0.2772,

0.6988,0.7474,0.2989, 1,0.1236,0.2624,0.2334,0.1979,0.1405,

0.9427,0.9545,0.7514,0.8764, 1,0.7161,0.6835,0.6364,0.5368,

0.8671,0.8926,0.5451,0.7376,0.2839, 1,0.4612,0.4096,0.3148,

0.884,0.9067,0.5833,0.7666,0.3165,0.5388, 1,0.4477,0.3493,

0.9039,0.923,0.6333,0.8021,0.3636,0.5904,0.5523, 1,0.3984,

0.9342,0.9476,0.7228,0.8595,0.4632,0.6852,0.6507,0.6016, 1,

R(4):

1,0.7136,0.2289,0.5699,0.2413,0.2766,0.0507,0.2639,0.1147,

0.2864, 1,0.1064,0.3472,0.1132,0.1331,0.021,0.1258,0.0494,

0.7711,0.8936, 1,0.817,0.5173,0.5631,0.1526,0.5471,0.3039,

0.4301,0.6528,0.183, 1,0.1936,0.224,0.0388,0.2129,0.0891,

0.7587,0.8868,0.4827,0.8064, 1,0.546,0.1439,0.5299,0.2894,

0.7234,0.8669,0.4369,0.776,0.454, 1,0.1226,0.4838,0.253,

0.9493,0.979,0.8474,0.9612,0.8561,0.8774, 1,0.8702,0.7079,

0.7361,0.8742,0.4529,0.7871,0.4701,0.5162,0.1298, 1,0.2654,

0.8853,0.9506,0.6961,0.9109,0.7106,0.747,0.2921,0.7346, 1,

下面打印的是样本优先比序号

因子 1 8 6 4 9 7 5 1 3 2

因子 2 8 7 2 9 5 6 1 3 4

因子 3 8 9 6 7 1 5 4 3 2

因子 4 7 9 3 8 4 6 1 5 2

合计 31 31 15 33 17 22 7 14 10

总计序号 8 8 4 9 5 6 1 3 2

对待测样本的各因子与已知样本的各因子比较，列出待测样本的优先比序号，合计总计序号值，与已知样本总计序号值比较。最相近者即为预测结果。

##########计算结束##########