private static MPIIdentifier GetIdentifierScore(MPIIdentifier incoming, MPIIdentifier existing)
{
Contract.Requires(_mpiConfiguration != null && incoming != null && existing != null);
if (IsNullEmptyOrUnknown(incoming.Value) || IsNullEmptyOrUnknown(existing.Value))
{
//can't compare so return 0 (identifier has no bearing on match score)
return(new MPIIdentifier
{
IdentifierName = existing.IdentifierName,
Score = 0,
Value = existing.Value,
});
}
//get weights for this identifier
//TODO: var weightRecord = _mpiConfiguration.IdentifierMatchWeights.First(w => w.Key.Equals(incoming.Identifier)).Value;
var weightRecord = new MPIIdentifierWeight
{
Identifier = incoming.IdentifierName,
MatchWeight = 1,
NonMatchWeight = -1,
};
//default to no match
double identifierScore;
//use fuzzy matching to determine how similar search vector is to candidate vector
var similarityScore = GetSimilarityScore(incoming.IdentifierName, incoming, existing);
if (similarityScore == 0)
{
identifierScore = weightRecord.NonMatchWeight;
}
else if (similarityScore == 1)
{
identifierScore = weightRecord.MatchWeight;
}
else
{
//if strings are neither identical nor different, adjust match weight by degree of similarity (0 to 1)
identifierScore = weightRecord.MatchWeight * similarityScore;
}
return(new MPIIdentifier
{
IdentifierName = existing.IdentifierName,
Value = existing.Value,
Score = identifierScore
});
}
//Min: 0 Max: 1
private static double GetSimilarityScore(string identifier, MPIIdentifier incoming, MPIIdentifier existing)
{
var incomingValue = incoming.Value;
var existingValue = existing.Value;
// if either vector elements have null values, treat as non match
if (incomingValue == null || existingValue == null)
{
return(0);
}
switch (incoming.MatchType)
{
case MatchType.StringMatchUsingJaroDistance:
return(CompareStringsUsingJaro(incomingValue, existingValue));
case MatchType.DateMatch:
return(CompareDates(incomingValue, existingValue));
case MatchType.GenderMatch:
return(CompareGenders(incomingValue, existingValue));
}
return(0);
}
