Part B: Optimization using Genetic Algorithm for TSP

• Range: 0 to 100

• Fuzzy Sets: Poor, Average, Good, Excellent

2. Financial Need

• Range: 0 to 10

• Fuzzy Sets: Low, Moderate, High

3. Extracurricular & Leadership Involvement

• Range: 0 to 10

• Fuzzy Sets: Limited, Some, Extensive

Scholarship Eligibility Score (Output)

• Range: 0 to 100

• Fuzzy Sets: Not Eligible, Low Eligibility, Moderate Eligibility, High Eligibility, Very High Eligibility

Suggesting Decision Rules

1. IF Academic_Performance IS Excellent AND Financial_Need IS High THEN Scholarship_Eligibility_Score IS Very_High_Eligibility.

2. IF Academic_Performance IS Good AND Extracurricular_Leadership IS Extensive THEN Scholarship_Eligibility_Score IS High_Eligibility.

3. IF Academic_Performance IS Excellent AND Financial_Need IS Moderate THEN Scholarship_Eligibility_Score IS High_Eligibility.

4. IF Academic_Performance IS Average AND Financial_Need IS High AND Extracurricular_Leadership IS Some THEN Scholarship_Eligibility_Score IS Moderate_Eligibility.

5. IF Academic_Performance IS Average AND Financial_Need IS Moderate THEN Scholarship_Eligibility_Score IS Moderate_Eligibility.

6. IF Academic_Performance IS Poor OR Financial_Need IS Low THEN Scholarship_Eligibility_Score IS Not_Eligible.

7. IF Academic_Performance IS Good AND Financial_Need IS Low THEN Scholarship_Eligibility_Score IS Low_Eligibility.