Development of an Expert System as a Diagnostic Support of Cervical Cancer in Atypical Glandular Cells, Based on Fuzzy Logics and Image Interpretation

Table 3

Input variables “Inyury resolution (DL).”¹

Input variables	Label	Geometric shape	Interval
	Small	Trapezoid	(0 0 5000 6000)
Nucleus dimensión (DN)	Medium	Trapezoid	(4500 6800 9000 10000)
	Large	Trapezoid	(9000 9900 25000 25000)
	Clear	Trapezoid	(50 50 80 82)
Nuclei staining (TN)	Media	Trapezoid	(79 82 87 92)
	Dark	Trapezoid	(87 92 150 150)
Homogeneous nucleation (HN)	Regular	Trapezoid	(0.5 0.5 0.74 0.77)
	Irregular	Trapezoid	(0.75 0.8 1 1)
	Null	Triangular	(0 0 2)
Nucleolus presence (PN)	Few	Trapezoid	(2 9 20 30)
	Many	Trapezoid	(24 40 150 150)
Risk (R)	Negative	Triangular	(0.5 1 1.5)
	Positive	Triangular	(1.51 2 2.5)
	Normal	Trapezoid	(0 0 31 41)
(DL) Injury resolution	AGC	Trapezoid	(31 41 58 68)
	Positive to malignity	Trapezoid	(58 68 100 100)

¹The initials presented in each one of input and output variables come from the translation from Spanish since users are native Spanish speakers. The interface of the expert system is, for now, only available in Spanish.