Rough Sets Data Analysis in Knowledge Discovery: A Case of Kuwaiti Diabetic Children Patients : Algorithm 3

]>Rough Sets Data Analysis in Knowledge Discovery: A Case of Kuwaiti Diabetic Children Patients : Algorithm 3

Input: reduct sets $R_{final} = {r_{1} \cup r_{2} \cup \dots \cup r_{n}}$
Output: Set of rules
1: for each reduct $r$ do
2: for each correspondence object $x$ do
3: Contract the decision rule $(c_{1} = v_{1} \land c_{2} = v_{2} \land \dots \land c_{n} = v_{n}) \to d = u$
4: Scan the reduct $r$ over an object $x$
5: Construct $(c_{i},1 \leq i \leq n)$
6: for every $c \in C$ do
7: Assign the value $v$ to the correspondence attribute $a$
8: end for
9: Construct a decision attribute $d$
10: Assign the value $u$ to the correspondence decision attribute $d$
11: end for
12: end for

Algorithm 3: Rule generation and classification.