Fuzzy Match Bot

Tasks

• Compares the source string to the target string using three distance methods
• Returns a percentage match.

This Bot helps you deploy fuzzy logic in many applications using Hamming, Damerau-Levenshtein, or Levenshtein distance to calculate the percentage match.

Fuzzy logic can deal with information arising from computational perception and cognition, that is, uncertain, imprecise, vague, partially true, or without sharp boundaries. It is extremely useful for many people involved in research and development including engineers, mathematicians, computer software developers and researchers, natural scientists, medical researchers, social scientists, public policy and business analysts. Fuzzy logic allows for the inclusion of vague human assessments in computing problems. Common applications include spell checking, correcting corrupted data, spam filtering, record linking, genetic distance and fraud detection.

Hamming - measures the minimum number of substitutions required to change one string into the other. The Hamming distance between two strings of equal length is the number of positions at which the corresponding symbols are different.

Levenshtein distance - string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (i.e. insertions, deletions or substitutions) required to change one word into the other.

Damerau–Levenshtein - Distance differs from the classical Levenshtein distance by including transpositions among its allowable operations. The classical Levenshtein distance only allows the insertion, deletion, and substitution operations. Modifying this distance by including transpositions of adjacent symbols produces a different distance measure.