Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis

Table 4

Example of fuzzy positivity rules table.

Rule	Function
1	If (Risks-Of-Hypoglycemia-or-Drug-Effects is High) then (HbA1c is Less-Stringent)
2	If (Disease-Duration is Long-Standing) then (HbA1c is Less-Stringent)
3	If (Life-Expectancy is Short) then (HbA1c is Less-Stringent)
4	If (Important-Comorbidities is Severe) then (HbA1c is Less-Stringent)
5	If (Established-Vascular-Complications is Severe) then (HbA1c is Less-Stringent)
6	If (Disease-Duration is Newly-Diagnosed) then (HbA1c is More-Stringent)
7	If (Life-Expectancy is Long) then (HbA1c is More-Stringent)
8	If (Patient-Attitude is Highly-Motivated) then (HbA1c is More-Stringent)
9	If (Resources-and-Support-System is Readily-Available) then (HbA1c is More-Stringent)
10	If (Risks-Of-Hypoglycemia-or-Drug-Effects is Low) and (Important-Comorbidities is Absent) and (Established-Vascular-Complications is Absent) then (HbA1c is More-Stringent)
11	If (Important-Comorbidities is Few-or-Mild) then (HbA1c is Mild-Stringent)
12	If (Established-Vascular-Complications is Few-or-Mild) then (HbA1c is Mild-Stringent)
13	If (Important-Comorbidities is Few-or-Mild and (Established-Vascular-Complications is Few-or-Mild) then (HbA1c is Less-Stringent)