Fuzzy matching, also known as approximate string matching, is a technique used to find similarities between two or more strings or pieces of data, even when they are not an exact match. It involves calculating a similarity score or distance metric based on various algorithms and heuristics, such as edit distance, phonetic similarity, or token-based matching. Fuzzy matching is widely used in applications like data deduplication, record linkage, and natural language processing.