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Next Uncertainty and Information Develop New Castle News Jul ,-, /0-1 Fuzziness

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Page 1: Uncertainty and Information - Wilkes Universitymathcs.wilkes.edu/~rpryor/mth398/GIT_06.pdfUncertainty Type: Vagueness Next.000./00.300.000.,00.-00.600.,00.000.,07.,1 A(x) B(x) alpha-

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Uncertainty and Information

Develop New Castle News Jul ,-, /0-1

Fuzziness

Page 2: Uncertainty and Information - Wilkes Universitymathcs.wilkes.edu/~rpryor/mth398/GIT_06.pdfUncertainty Type: Vagueness Next.000./00.300.000.,00.-00.600.,00.000.,07.,1 A(x) B(x) alpha-

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("#$" - $'"()Lotfi Zadeh

Evidence:

None. Basically fuzziness deals with linguistic sharplessness and this lack of crispness is not eliminated by gaining evidence.

Fuzzy Set TheoryUncertainty Type: Vagueness

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Page 3: Uncertainty and Information - Wilkes Universitymathcs.wilkes.edu/~rpryor/mth398/GIT_06.pdfUncertainty Type: Vagueness Next.000./00.300.000.,00.-00.600.,00.000.,07.,1 A(x) B(x) alpha-

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Fuzzy Set TheoryUncertainty Type: Vagueness

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0.0000./000.300-.0000.,00

( -", inf )

-.0000.4000.1000.0000.500

0.6000.5000.0000.500-.000

-.0000.4000.1000.0000.500

0.600---0.,00

A(x) B(x)

Fuzzy Complements ->

Fuzzy T-conorms ->

Fuzzy T-norms ->

standard cA(x)

Yager cA(x)

standard cB(x)

Sugeno cA(x)

lambda omega

0.6000.,00-.0000.,000.000

-

0.6000.,00-.000-.0000.,00

0.6000.110-.000-.0000.,00

0.6000.600-.000-.0000.,00

-.0000.4000.1000.0000.500

0.0000./000.3000.,000.000

0.0000.0300.3000.,000.000

0.0000.0000.3000.,000.000

000.3000.,000

Bounded difference

Standard intersection

Algebraic product

Drastic intersection

Standard union

Algebraic sum

Bounded sum

Drastic union

0

( ', inf )Defined FOR ALL elements of some universal set X.

Page 4: Uncertainty and Information - Wilkes Universitymathcs.wilkes.edu/~rpryor/mth398/GIT_06.pdfUncertainty Type: Vagueness Next.000./00.300.000.,00.-00.600.,00.000.,07.,1 A(x) B(x) alpha-

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Fuzzy Set TheoryUncertainty Type: Vagueness

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0.0000./000.300-.0000.,00

/.-00

0.6000.,00-.0000.,070.,1

A(x) B(x)alpha- ->

Scalar Cardinality

strong alpha-cut

A(x)0.6000.,00-.0000.,070.,1

0.,

0.600-.0000.,070.,1

alpha-cutB(x)

strong alpha-cut

B(x)

All alpha-cut sets are CRISP sets !

alpha-cutA(x)

Relative Cardinality

S( A, B )

0.300-.0000.,00

/.117

0.1/0

0.170

-6.000

4.000

Fuzzy Cardinality

S( B, A )

0.35- 0.656

Degree of Subsethood

h(A) h(B)

support(B(x))

support(A(x))

0.300-.000

x-x/x,x1x6

x/x,x1x6

-.000 -.000

alpha-cuts of A(x)

alpha-cuts of B(x)

-.0000.600,-.000

0.,00,0.,07,0.,1,0.600,-.000

-.0000.300,-.000

0.,00,0.300,-.0000./00,0.,00,0.300,-.000

0.000,0./00,0.,00,0.300,-.000

"'.Q'.R

"'.S'.R'.$'.'

Page 5: Uncertainty and Information - Wilkes Universitymathcs.wilkes.edu/~rpryor/mth398/GIT_06.pdfUncertainty Type: Vagueness Next.000./00.300.000.,00.-00.600.,00.000.,07.,1 A(x) B(x) alpha-

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Fuzzy Set TheoryUncertainty Type: Vagueness

Temperature around 21

Fuzzy set interpretation of Possibilty Theory