1. Sistemi per la Gestione Aziendale.
AA Ingegneria Gestionale (LS) Facoltà di Ingegneria di Napoli
SGA0607 LEZ29 Sistemi Fuzzy

2. The compositional rule of inference
Pag.

3. Pag.

4. Giuseppe Zollo - DIS, Facoltà di Ingegneria, Università di Napoli Federico II - Piazzale Tecchio 80, Napoli (I) -
Lez.GA.01.AA.98/99
Pag.

5. Fuzzy Sets for driving reasoning
SHORT = A1 = [1.0, 0.5, 0]
LONG = A2 = [0, 0.5, 1. 0]
DISTANCE
X1 = 10 m, X2 = 20 m, X3 = 30 m x1 x2 x3 B1 B2
SLOW = B1 = [1.0, 0.5, 0]
FAST =B2 = [0, 0.5, 1.0]
SPEED
Y1 = 30 km/h, Y2 = 50 km/h, Y3 = 70 km/h y1 y2 y3 C2 C3 C1
HOLD = C1 = [0, 1, 0]
BRAKE = C2 = [1.0, 0, 0]
SPEED = C3 = [0, 0, 1]
ACTION
Z1 = -10 km/h, Z2 = 0 km/h, Z3 = +10 km/h z1 z2 z3

6. R1 10 20 30 30 50 70
-10 10
Km/h2 m
Km/h R2 10 20 30 30 50 70
-10 10 R3 10 20 30 30 50 70
-10 10 R4 10 20 30 30 50 70
-10 10

7. R1 10 20 30 30 50 70
-10 10
Km/h2 m
Km/h R2 10 20 30 30 50 70
-10 10 R3 10 20 30 30 50 70
-10 10 R4 10 20 30 30 50 70
-10 10
15 m
60 km/h

8. R1 10 20 30 30 50 70
-10 10
Km/h2 m
Km/h R2 10 20 30 30 50 70
-10 10 R3 10 20 30 30 50 70
-10 10 R4 10 20 30 30 50 70
-10 10
15 m
60 km/h
-10 10

9. R1 Km/h2 m Km/h R2 R3 R4 15 m 60 km/h -7 Km/h210 20 30 30 50 70
-10 10
Km/h2 m
Km/h R2 10 20 30 30 50 70
-10 10 R3 10 20 30 30 50 70
-10 10 R4 10 20 30 30 50 70
-10 10
15 m
60 km/h
-10 10
-7 Km/h2

10. R1 10 20 30 30 50 70
-10 10
Km/h2 m
Km/h R2 10 20 30 30 50 70
-10 10 R3 10 20 30 30 50 70
-10 10 R4 10 20 30 30 50 70
-10 10 10 20 30 30 50 70

11. R1 10 20 30 30 50 70
-10 10
Km/h2 m
Km/h R2 10 20 30 30 50 70
-10 10 R3 10 20 30 30 50 70
-10 10 R4 10 20 30 30 50 70
-10 10 10 20 30 30 50 70

12. R1 10 20 30 30 50 70
-10 10
Km/h2 m
Km/h R2 10 20 30 30 50 70
-10 10 R3 10 20 30 30 50 70
-10 10 R4 10 20 30 30 50 70
-10 10 10 20 30 30 50 70

13. Rules 1 and 2

14. Rules 3 and 4

15. The Total Fuzzy Rule

16. Application