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  2. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    A fuzzy Mediawiki search for "angry emoticon" has as a suggested result "andré emotions" In computer science, approximate string matching (often colloquially referred to as fuzzy string searching) is the technique of finding strings that match a pattern approximately (rather than exactly).

  3. Fuzzy matching (computer-assisted translation) - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_matching_(computer...

    Fuzzy matching is a technique used in computer-assisted translation as a special case of record linkage. It works with matches that may be less than 100% perfect when finding correspondences between segments of a text and entries in a database of previous translations.

  4. Fuzzy retrieval - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_retrieval

    Fuzzy retrieval techniques are based on the Extended Boolean model and the Fuzzy set theory. There are two classical fuzzy retrieval models: Mixed Min and Max (MMM) and the Paice model. Both models do not provide a way of evaluating query weights, however this is considered by the P-norms algorithm.

  5. Fuzzy matching - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_matching

    Fuzzy matching may refer to: Probabilistic record linkage; Fuzzy matching (computer-assisted translation) This page was last edited on 10 ...

  6. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    Blue highlights show the match results of the regular expression pattern: /r[aeiou]+/ g (lower case r followed by one or more lower-case vowels). A regular expression (shortened as regex or regexp ), [ 1 ] sometimes referred to as rational expression , [ 2 ] [ 3 ] is a sequence of characters that specifies a match pattern in text .

  7. Fuzzy mathematics - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_mathematics

    Let (G, *) be a group and A a fuzzy subset of G. Then A is a fuzzy subgroup of G if for all x, y in G, A(x*y −1) ≥ min(A(x), A(y −1)). A similar generalization principle is used, for example, for fuzzification of the transitivity property. Let R be a fuzzy relation on X, i.e. R is a fuzzy subset of X × X.

  8. Fuzzy associative matrix - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_associative_matrix

    In the context of game AI programming, a fuzzy associative matrix helps to develop the rules for non-player characters. [2] Suppose a professional is tasked with writing fuzzy logic rules for a video game monster. In the game being built, entities have two variables: hit points (HP) and firepower (FP):

  9. Fuzzy set operations - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_set_operations

    c is continuous function. Axiom c4. Involutions c is an involution, which means that c(c(a)) = a for each a ∈ [0,1] c is a strong negator (aka fuzzy complement). A function c satisfying axioms c1 and c3 has at least one fixpoint a * with c(a *) = a *, and if axiom c2 is fulfilled as well