Page 114 - DCAP506_ARTIFICIAL_INTELLIGENCE

Artificial Intelligence

Notes Self Assessment

Fill in the blanks:
10. ....................... networks are also known as Belief Networks or Probabilistic Inference
Networks primarily generated by Pearl (1988).

11. A Bayesian Network is define as a ....................... acyclic graph.
12. Conditional probabilities measure the power of ........................ .

8.4 Fuzzy Logic

Fuzzy logic is a completely diverse approach to symbolizing uncertainty:

 It concentrates on ambiguities in illustrating events rather than uncertainty regarding the
incidence of an event.

 Modifies the definitions of set theory and logic to permit this.
 Traditional set theory defines set memberships as a boolean predicate.
8.4.1 Fuzzy Set Theory

 Fuzzy set theory defines set membership as a possibility distribution.
The general rule for this can displayed as:
n
f :[0, 1]  [0, 1]
where n some number of possibilities.

Did u know? Fuzzy set theory mainly specifies that we can take n possible events and use f
to produce as single possible outcome.
 Once set membership has been redefined we can build up new logics depending on
combining of sets etc. and reason efficiently.

Self Assessment

Fill in the blanks:
13. ....................... concentrates on ambiguities in illustrating events rather than uncertainty
regarding the incidence of an event.

14. Fuzzy set theory defines set membership as a ........................ .
15. Fuzzy set theory mainly specifies that we can take n possible events and use f to produce
as single possible ....................... .

8.5 Summary

 Statistical methods give a method for showing principles that are not certain (or uncertain)
but for which there may be some assisting (or contradictory) confirmation.

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