Research Article
Credit Rating Using Type-2 Fuzzy Neural Networks
Table 1
Fragment from Japan credit rating data set.
| A1 | A2 | A3 | A4 | A5 | A6 | A7 | A8 | A9 | A10 | A11 | A12 | A13 | A14 | A15 | Output |
| b | 30.83 | 0 | u | g | w | v | 1.25 | t | t | 01 | f | g | 00202 | 0 | + | a | 58.67 | 4.46 | u | g | q | h | 3.04 | t | t | 06 | f | g | 00043 | 560 | + | a | 24.50 | 0.5 | u | g | q | h | 1.5 | t | f | 0 | f | g | 00280 | 824 | + | b | 27.83 | 1.54 | u | g | w | v | 3.75 | t | t | 05 | t | g | 00100 | 3 | + | | | | | | | | | | | | | | | | | b | 34.17 | 1.54 | u | g | cc | v | 1.54 | t | t | 01 | t | g | 00520 | 50000 | + | a | 36.00 | 1 | u | g | c | v | 2 | t | t | 11 | f | g | 00000 | 456 | + | b | 25.50 | 0.375 | u | g | m | v | 0.25 | t | t | 03 | f | g | 00260 | 15108 | + | b | 19.42 | 6.5 | u | g | w | h | 1.46 | t | t | 07 | f | g | 00080 | 2954 | + | b | 35.17 | 25.125 | u | g | x | h | 1.625 | t | t | 01 | t | g | 00515 | 500 | + | b | 32.33 | 7.5 | u | g | e | bb | 1.585 | t | f | 0 | t | s | 00420 | 0 | − | a | 38.58 | 5 | u | g | cc | v | 13.5 | t | f | 0 | t | g | 00980 | 0 | − | b | 44.25 | 0.5 | u | g | m | v | 10.75 | t | f | 0 | f | s | 00400 | 0 | − | b | 44.83 | 7 | y | p | c | v | 1.625 | f | f | 0 | f | g | 00160 | 2 | − | b | 20.67 | 5.29 | u | g | q | v | 0.375 | t | t | 01 | f | g | 00160 | 0 | − | b | 34.08 | 6.5 | u | g | aa | v | 0.125 | t | f | 0 | t | g | 00443 | 0 | − | a | 19.17 | 0.585 | y | p | aa | v | 0.585 | t | f | 0 | t | g | 00160 | 0 | − | b | 21.67 | 1.165 | y | p | k | v | 2.5 | t | t | 01 | f | g | 00180 | 20 | − |
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