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Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

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Type-2 Fuzzy System
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Page 1: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Type-2 Fuzzy System

Page 2: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Type-2 Fuzzy System

Page 3: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.
Page 4: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Alpha-plane

Page 5: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Alpha-plane

Page 6: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Fuzzy inference

Rule: IF is AND is then is

The t-norm of PRODUCT operations:

Page 7: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Type Reduce

For a type-1 fuzzy set

For a interval type-2 fuzzy set

Page 8: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Type Reduce

Let [ ] are the type-1 fuzzy set, and each is different.

[ ] [ ]

Karnik-Mendel algorithm is a way to find and .

Defuzzifier

Page 9: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Result

Example 1:T1m=2T1v=0.3T2v=0.1X={0,0.1,0.2,0.3,…,4.0}alpha=[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0];

Page 10: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Result

Example 2:T1m=2T1v=0.3T2v=0.1T2b=0.1X={0,0.1,0.2,0.3,…,4.0}alpha=[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0];

Page 11: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Result

Example 3:T1m=2T1v=0.3T2v=0.1T2b=0.15X={0,0.1,0.2,0.3,…,4.0}alpha=[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0];

Page 12: Type-2 Fuzzy System. Alpha-plane Fuzzy inference.

Result

Example 4:T1m=2T1v=0.3T2v=0.1T2b=0.2X={0,0.1,0.2,0.3,…,4.0}alpha=[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0];


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