The Fuzziness Interval determines the accuracy of the comparison between the input data of a participant (such as name, date of birth, or ID number) and external data sources (such as crime, fraud & terrorism lists, PEP databases, or Media & Publicity). The interval defines how strict or flexible the system is in accepting matches.

Matching Modes

Strict Matching:

• Only exact matches are accepted.
• No tolerance for spelling errors or variations.
• Use: Suitable for critical checks such as sanctions lists or legally binding screenings.

Fuzzy Matching:

• Accepts minor variations or deviations in the data.
• For example, “Jansen” may match with “Janssen” or “Janßen.”
• Use: Useful for international data, varying spellings, or typographical errors.

Custom Matching (optional in some systems):

• A hybrid approach where the degree of “fuzziness” can be adjusted to specific use cases.

How is this applied in reporting?

Matching Details

• Matching type: Indicates which method was used (e.g., strict or fuzzy).
• Match percentage: For fuzzy matching, the percentage reflecting the degree of similarity is displayed (e.g., 95%).

Matched field(s): Specifies which fields match, for example:

• Name
• Date of birth
• Passport number