Research Article
Development of an Expert System as a Diagnostic Support of Cervical Cancer in Atypical Glandular Cells, Based on Fuzzy Logics and Image Interpretation
Table 1
Input variables of fuzzy model of risk diagnose.
| | Input variables | Label | Geometric shape | Interval |
| | | Young | Trapezoid | (10 15 18 22) | | E (age) | Adult | Trapezoid | (18 22 34 45) | | | Mature | Trapezoid | (38 44 90 90) |
| | IVSA (onset of sexual activity) | Young | Trapezoid | (10 15 18 22) | | Adult | Trapezoid | (18 22 34 45) | | Mature | Trapezoid | (38 44 90 90) |
| | | Few | Trapezoid | (0 2 3 4) | | PS (sexual couples) | Many | Trapezoid | (3 5 9 10) | | | Unusual | Trapezoid | (9 15 20 20) |
| | NG (number of pregnancies) | Few
Many | Triangular
Triangular
Trapezoid | (0 0 0.5)
(0.51 4 8)
(7 8 18 18) |
| | | Young | Trapezoid | (10 15 18 22) | | PG (first pregnancy age) | Adult | Trapezoid | (18 22 34 45) | | | Mature | Trapezoid | (38 44 90 90) |
| | ETS (sexually transmitted diseases) | No | Triangular | (0 0 0.5) | | Yes | Triangular | (0.51 1 1.5) |
| | LE (cervical lesions) | No | Triangular | (0 0 0.5) | | Yes | Triangular | (0.51 1 1.5) |
| | R (risk) | Negative | Triangular | (0 0 0.5) | | Positive | Triangular | (0.51 1 1.5) |
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