Chapter 3 FUZZY RELATION AND COMPOSITION - PowerPoint PPT Presentation

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Chapter 3 FUZZY RELATION AND COMPOSITION

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Chapter 3 FUZZY RELATION AND COMPOSITION G.Anuradha * Thanks for your attention! * * * Projection / cylindrical extension * Projection / cylindrical extension ... – PowerPoint PPT presentation

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Title: Chapter 3 FUZZY RELATION AND COMPOSITION


1
Chapter 3 FUZZY RELATION AND COMPOSITION
  • G.Anuradha

2
Outline
  • Product set
  • Crisp / fuzzy relations
  • Composition / decomposition
  • Projection / cylindrical extension
  • Extension of fuzzy set / fuzzy relation

3
Product set
4
Product set
5
Product set
  • Aa1,a2 Bb1,b2 Cc1,c2
  • AxBxC (a1,b1,c1),(a1,b1,c2),(a1,b2,c1),(a1,b2,c
    2),(a2,b1,c1),(a2,b1,c2),(a2,b2,c1), (a2,b2,c2)

6
Crisp relation
  • A relation among crisp sets
    is a subset of the Cartesian product. It is
    denoted by .
  • Using the membership function defines the crisp
    relation R

7
Fuzzy relation
  • A fuzzy relation is a fuzzy set defined on the
    Cartesian product of crisp sets A1, A2, ..., An
    where tuples (x1, x2, ..., xn) may have varying
    degrees of membership within the relation.
  • The membership grade indicates the strength of
    the relation present between the elements of the
    tuple.

8
Representation methods
  • Bipartigraph

9
Representation methods
  • Matrix






10
Representation methods
  • Digraph

11
Domain and range of fuzzy relation
  • Domain
  • Range

domain
range
12
Domain and range of fuzzy relation
  • Fuzzy matrix

13
Operations on fuzzy matrices
  • Sum
  • Example

14
Operations on fuzzy matrices
  • Max product C ABAB
  • Example

15
Max product
  • Example

16
Max product
  • Example

17
Max product
  • Example

18
Operations on fuzzy matrices
  • Scalar product
  • Example

19
Operations on fuzzy relations
  • Union relation
  • For n relations

20
Union relation
  • Example

21
Operations on fuzzy relations
  • Intersection relation
  • For n relations

22
Intersection relation
  • Example

23
Operations on fuzzy relations
  • Complement relation
  • Example

24
Composition of fuzzy relations
  • Max-min composition
  • Example

25
Composition of fuzzy relations
26
Composition of fuzzy relations
  • Example

27
Composition of fuzzy relations
  • Example

28
Composition of fuzzy relations
29
a-cut of fuzzy relation
  • Example

30
a-cut of fuzzy relation
31
Decomposition of relation
32
Decomposition of relation
33
Decomposition of relation
34
Projection / cylindrical extension
35
Projection / cylindrical extension
36
Projection in n dimension
37
Projection
38
Projection
39
Projection
40
Projection
41
Projection / cylindrical extension
42
Cylindrical extension
43
Cylindrical extension
44
Cylindrical extension
  • x1 0 x,x1 1 y
  • x2 0 a, x2 1 b
  • x3 0 a, x3 1 ß

45
Cylindrical extension
  • Join(R123,R123) C(R123)nC(R123)
  • Min(R123,R123)
  • R123

46
Functions with Fuzzy Arguments
  • A crisp function maps its crisp input argument to
    its image.
  • Fuzzy arguments have membership degrees.
  • When computing a fuzzy mapping it is necessary
    to compute the image and its membership value.

47
Crisp Mappings
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Other operations on fuzzy sets
  • Cartesian product
  • Mth power
  • Algebraic sum
  • Bounded sum
  • Bounded difference
  • Algebraic product

65
Cartesian product
  •  

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68
Thanks for your attention!
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