Fuzzy logic uses several common algorithms, including:

Fuzzy logic is employed in sanctions screening systems to identify potential matches that are not identical to the names on a sanctions list. Phonetic algorithms are a crucial component of this fuzzy matching process. These algorithms, such as Soundex or Metaphone, work by encoding names based on their pronunciation. This allows the screening system to flag names that sound similar but have different spellings (e.g., "John" and "Jon," or "Filip" and "Philip"), which is essential for detecting attempts to evade sanctions through minor name variations or to account for transliteration differences.

A. inequalities lists: This is not a standard term for a fuzzy logic algorithm; it describes a mathematical concept, not a matching technique used in sanctions screening.

B. big data: Big data refers to the large volume and complexity of data being processed, not a specific algorithm used within a fuzzy logic system.

D. whitelists: A whitelist is a list of pre-approved entities used to reduce false positives by automatically dismissing alerts for known non-matches; it is a control tool, not a matching algorithm.

1. ACAMS. (2023). Certified Global Sanctions Specialist (CGSS) Study Guide. Chapter 4: Sanctions Screening and Technology, Section: "Fuzzy Logic and Matching Algorithms," pp. 112-114. The guide explicitly discusses phonetic algorithms as a primary example of fuzzy logic techniques used to match names based on their sound.

2. Mena, J. (2021). Sanctions, Screening and Data: The New AML Frontier. Chapter 5: "The Role of Technology in Sanctions Compliance." This text details how fuzzy logic engines utilize various algorithms, with a specific focus on phonetic algorithms like Soundex and Metaphone for effective name matching against sanctions lists.

3. Financial Action Task Force (FATF). (2021). Guidance on Proliferation Financing Risk Assessment and Mitigation. Section on "Screening Tools," p. 45, para. 128. The guidance notes the importance of screening systems that can account for variations in spelling and transliteration, a function directly served by phonetic algorithms within a fuzzy logic framework.