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Chapter 2 The Operations of Fuzzy Set. Outline Standard operations of fuzzy set Fuzzy complement Fuzzy union Fuzzy intersection Other operations in fuzzy.

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Presentation on theme: "Chapter 2 The Operations of Fuzzy Set. Outline Standard operations of fuzzy set Fuzzy complement Fuzzy union Fuzzy intersection Other operations in fuzzy."— Presentation transcript:

1 Chapter 2 The Operations of Fuzzy Set

2 Outline Standard operations of fuzzy set Fuzzy complement Fuzzy union Fuzzy intersection Other operations in fuzzy set  Disjunctive sum  Difference  Distance  Cartesian product T-norms and t-conorms

3 Standard operation of fuzzy set Complement 3

4 Standard operation of fuzzy set Union

5 Standard operation of fuzzy set Intersection

6 Fuzzy complement C:[0,1]  [0,1]

7 Fuzzy complement

8 Axioms C1 and C2 called “axiomatic skeleton ” are fundamental requisites to be a complement function, i.e., for any function C:[0,1]  [0,1] that satisfies axioms C1 and C2 is called a fuzzy complement. Additional requirements

9 Fuzzy complement Example 1 : Standard function Axiom C1 Axiom C2 Axiom C3 Axiom C4

10 Fuzzy complement Example 2 : Axiom C1 Axiom C2 XAxiom C3 XAxiom C4

11 Fuzzy complement Example 3: Axiom C1 Axiom C2 Axiom C3 XAxiom C4

12 Fuzzy complement Example 4: Yager’s function Axiom C1 Axiom C2 Axiom C3 Axiom C4

13 Fuzzy complement Fuzzy partition If m subsets are defined in X, m-tuple (A 1, A 2,…,A m ) holding the following conditions is called a fuzzy partition.

14 Fuzzy union

15 Axioms U1,U2,U3 and U4 called “axiomatic skeleton ” are fundamental requisites to be a union function, i.e., for any function U:[0,1]X[0,1]  [0,1] that satisfies axioms U1,U2,U3 and U4 is called a fuzzy union. Additional requirements

16 Fuzzy union Example 1 : Standard function Axiom U1 Axiom U2 Axiom U3 Axiom U4 Axiom U5 Axiom U6

17 Fuzzy union Example 2: Yager’s function Axiom U1 Axiom U2 Axiom U3 Axiom U4 Axiom U5 XAxiom U6

18

19 Fuzzy union

20 Some frequently used fuzzy unions – Probabilistic sum (Algebraic Sum): – Bounded Sum (Bold union): – Drastic Sum: – Hamacher’s Sum

21 Fuzzy union

22 Fuzzy intersection

23 Axioms I1,I2,I3 and I4 called “axiomatic skeleton ” are fundamental requisites to be a intersection function, i.e., for any function I:[0,1]X[0,1]  [0,1] that satisfies axioms I1,I2,I3 and I4 is called a fuzzy intersection. Additional requirements

24 Fuzzy intersection Example 1 : Standard function Axiom I1 Axiom I2 Axiom I3 Axiom I4 Axiom I5 Axiom I6

25 Fuzzy intersection Example 2: Yager’s function Axiom I1 Axiom I2 Axiom I3 Axiom I4 Axiom I5 XAxiom I6

26 Fuzzy intersection

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28 Some frequently used fuzzy intersections – Probabilistic product (Algebraic product): – Bounded product (Bold intersection): – Drastic product : – Hamacher’s product

29 Fuzzy intersection

30 Other operations Disjunctive sum (exclusive OR)

31 Other operations

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33 Disjoint sum (elimination of common area)

34 Other operations Difference  Crisp set  Fuzzy set : Simple difference By using standard complement and intersection operations.  Fuzzy set : Bounded difference

35 Other operations Example  Simple difference

36 Other operations Example  Bounded difference

37 Other operations Distance and difference

38 Other operations Distance  Hamming distance  Relative Hamming distance

39 Other operations  Euclidean distance  Relative Euclidean distance  Minkowski distance (w=1-> Hamming and w=2-> Euclidean)

40 Other operations Cartesian product  Power  Cartesian product

41 Other operations Example: – A = { (x1, 0.2), (x2, 0.5), (x3, 1) } – B = { (y1, 0.3), (y2, 0.9) }

42 t-norms and t-conorms (s-norms)

43

44 Duality of t-norms and t-conorms  Applying complements  DeMorgan’s law


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