What is the function of a fuzziness level in a dtSearch?

The function of a fuzziness level in a dtSearch is to apply a defined degree of fuzziness to all search terms. This means that when a search is conducted with a specified fuzziness level, dtSearch will not only look for exact matches of the query terms but will also consider variations that may include typographical errors or different word forms that are close to the searched terms.

By allowing for this degree of flexibility, fuzziness enhances the search experience by expanding the scope of results that can be returned, thereby capturing relevant documents that may contain slight variations or misspellings of the requested terms. This is particularly useful in situations where users may not recall the exact spelling, or where different documents may use synonyms or related terms.

The other options do not accurately describe the function of a fuzziness level. For example, a strict character match would not accommodate variations at all, ignoring the purpose of fuzziness. Ignoring special characters is a different aspect of search functionality unrelated to fuzziness. Lastly, limiting searches to a specific number of terms relates to result control rather than the inherent flexibility of matching defined by fuzziness levels.