Probabilistic Matching

Probabilistic matching uses likelihood ratio theory to assign comparison outcomes to the correct, or more likely decision.

Probabilistic matching enables one to use match scores and percentages on a field by field comparison to determine a match. There are three categories output from probabilistic matching and are set by the user based on the overall probability percentage:

1) Match - that can be automatically merged
2) Candidate Match - requiring manual review
3) Non Match

Artificial Intelligence and Machine Learning utilize probabilistic matching.