For fuzzy-match base objects, the

accept limit

is a number that determines the acceptability of a match. This setting does the exact same thing as the match level, but to a more granular degree. The accept limit is defined by

Informatica

within a population in accordance with its match purpose. The Accept Limit Adjustment allows a coarse adjustment to what is considered to be a match for this match rule.

A positive adjustment results in more conservative matching.
A negative adjustment results in looser matching.

For example, suppose that, for a given field and a given population, the accept limit for a typical match level is 80, for a loose match level is 70, and for a conservative match level is 90. If you specify a positive number (such as 3) for the adjustment, then the accept level becomes slightly more conservative. If you specify a negative number (such as -2), then the accept level becomes looser.

Configuring this setting provides a optional refinement to your match settings that might be helpful in certain circumstances. Adjusting the accept limit even a few points can have a dramatic effect on your matches, resulting in overmatching or undermatching. Therefore, it is recommended that you test different settings iteratively, with small increments, to determine the best setting for your data.