What is Fuzzy matching?

Fuzzy matching, sometimes known as probabilistic record linkage, uses algorithmic processes (fuzzy logic) in order to determine whether there is any similarity or relationship between elements of data. 

What makes fuzzy matching different to traditional database searching is that results for a query are returned based on likely relevance, rather than an exact match.

WinPure™ Clean & Match contains advanced Fuzzy matching algorithms that are able to calculate the probability that different records and search terms actually relate to the same thing. 


The Fuzzy match option can be used to determine which records should be considered similar enough to be presented as potential duplicates or matching records. 

When you select the fuzzy match you will then need to set the Fuzzy Level.