What is fuzzy matching? How does it work?
 

Fuzzy matching is a form of computer-aided translation, or CAT, and can be used to match sentences or sections of text to be translated to its translation. Fuzzy logic actually works quite well for this type of thing.

Fuzzy matching is basically used to determine if there is any similarity in between the elements of the data. It works differently from the traditional database searching. Fuzzy matching is a procedure that produces a result on the basis of word-based matching queries to find matching data from a database. When an exact match is not found for a data, fuzzy matching can be used. It helps to find a match which, although not a 100 percent match, is above the threshold matching percentage set by the application.