In what step of the relevance scoring phase do fuzzy-queries apply the Levenstein formula?
I am asking this because I read here that the steps for relevance scoring include TF-IDF, vector space model and other features like a coordination factor, field length normalization, and term or query clause boosting.
Where exactly does applying Levenstein (or Damerau-Levenstein) occur and most importantly, where does the fuzziness come from? What is actually fuzzy about fuzzy queries? Is it related to fuzzy logic in any way?
Thanks in advance!