Fuzzy search is a term used in computer science to describe a search algorithm that returns not only exact matches but also close matches. The spelling of fuzzy search uses the English alphabet but includes a letter 'z' in the middle. The IPA phonetic transcription for fuzzy search is /ˈfʌzi sɜːrtʃ/, where the stress falls on the first syllable. The 'z' in fuzzy is pronounced as /z/ while the 'u' is pronounced as /ʌ/ sound. The 's' in search sounds like /s/.
The term "fuzzy search" is a compound word consisting of "fuzzy" and "search".
The word "fuzzy" in the context of search refers to a search technique that allows for approximate matching, rather than strict matching. It was coined by Dr. Lotfi A. Zadeh in 1965, who introduced the concept of fuzzy logic.
"Fuzzy" itself derives from the English word "fuzz", which originally meant "light, feathery particles" and later became associated with something blurred or indistinct. In the context of search, "fuzzy" indicates a search method that allows for imprecision or ambiguity in the matching process.
The word "search" has a straightforward origin, stemming from the Old French word "cerchier", meaning "to seek" or "to search".