Similarity Search
Localiza os termos similares ao texto existente na caixa Localizar. Assinale esta caixa de verificação e clique no botão Semelhanças para definir as opções de semelhança.
Por exemplo, uma procura por semelhança pode localizar palavras que diferem do texto no campo Localizar em dois caracteres.
On the Table Data bar, click Find Record icon, then Similarity search check box, then click the Similarities button (database table view).
On the Form Navigation bar, click Record Search icon, then Similarity search check box, then click the Similarities button (database form view).
On the database table view, press +F, select Similarity search check box, then click the Similarities button.
Semelhanças
Defina os critérios que determinam se uma palavra é similar ao termo de procura.
Trocar caracteres
Enter the number of characters in the search term that can be exchanged. For example, if you specify 2 exchanged characters, "sweep" and "creep" are considered similar, when exchanging "sw" and "cr".
Adicionar caracteres
Enter the maximum number of characters by which a word can exceed the number of characters in the search term. For example, if you specify 3 additional characters, "long" and "longest" are considered similar, but not "longitude".
Remover caracteres
Enter the number of characters by which a word can be shorter than the search term.For example, if you specify 3 removed characters, "longitude" and "longest" are considered similar, but not "long".
Combinar
Procura os termos que coincidam com as combinações das definições da procura por semelhança.
Using Combine better meets a user's expectations from looking at the settings, but may return false positives. Not using Combine may match less than expected, but does not return false positives.
A Weighted Levenshtein Distance (WLD) algorithm is used. If Combine is not checked, then settings are treated as an exclusive-OR (strict WLD). If Combine is checked, then settings are treated as an inclusive-OR (relaxed WLD).
Be careful when using Replace All with Similarity Search. Best to be certain first about what will be found.