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 transcript:

Chapter 2 The Operations of Fuzzy Set

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

Standard operation of fuzzy set Complement 3

Standard operation of fuzzy set Union

Standard operation of fuzzy set Intersection

Fuzzy complement C:[0,1]  [0,1]

Fuzzy complement

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

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

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

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

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

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.

Fuzzy union

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

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

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

Fuzzy union

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

Fuzzy union

Fuzzy intersection

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

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

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

Fuzzy intersection

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

Fuzzy intersection

Other operations Disjunctive sum (exclusive OR)

Other operations

Disjoint sum (elimination of common area)

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

Other operations Example  Simple difference

Other operations Example  Bounded difference

Other operations Distance and difference

Other operations Distance  Hamming distance  Relative Hamming distance

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

Other operations Cartesian product  Power  Cartesian product

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

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

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