SLIDE 1
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21
Certainty Factor
- certainty factor CF
– ranges between -1 (denial of the hypothesis H) and +1 (confirmation of H) – allows the ranking of hypotheses
- difference between belief and disbelief
CF (H,E) = MB(H,E) - MD (H,E)
- combining antecedent evidence
– use of premises with less than absolute confidence
- E1 ∧ E2 = min(CF(H, E1), CF(H, E2))
- E1 ∨ E2 = max(CF(H, E1), CF(H, E2))
- ¬E = ¬ CF(H, E)
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Combining Certainty Factors
- certainty factors that support the same conclusion
- several rules can lead to the same conclusion
- applied incrementally as new evidence becomes
available
CFc(CF1, CF2) = CF1 + CF 2(1 - CF1) if both > 0 CF1 + CF 2(1 + CF1) if both < 0 CF1 + CF2 / (1 - min(|CF1|, |CF2|)) if one < 0
MB is the measure of increased belief in H due to E MD is the measure of increased disbelief in H due to E
(is the certainty factor in the hypothesis H due to evidence E)