enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Fuzzy logic - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_logic

    Fuzzy logic is a form of many-valued logic in which the truth ... For example, in [29] one shows that the fuzzy Turing machines are not adequate for fuzzy language ...

  3. 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.

  4. Fuzzy control system - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_control_system

    A fuzzy control system is a control system based on fuzzy logic – a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 1 or 0 (true or false, respectively).

  5. Fuzzy concept - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_concept

    Nowadays engineers, statisticians and programmers often represent fuzzy concepts mathematically, using fuzzy logic, fuzzy values, fuzzy variables and fuzzy sets [13] (see also fuzzy set theory). Fuzzy logic can play a significant role in artificial intelligence programming, for example because it can model human cognitive processes more easily ...

  6. Fuzzy rule - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_rule

    Fuzzy rules are used within fuzzy logic systems to infer an output based on input variables. Modus ponens and modus tollens are the most important rules of inference. [1] A modus ponens rule is in the form Premise: x is A Implication: IF x is A THEN y is B Consequent: y is B. In crisp logic, the premise x is A can only be true or false

  7. Defuzzification - Wikipedia

    en.wikipedia.org/wiki/Defuzzification

    The place of defuzzification in a fuzzy control system A particular defuzzification method. Defuzzification is the process of producing a quantifiable result in crisp logic, given fuzzy sets and corresponding membership degrees. It is the process that maps a fuzzy set to a crisp set. It is typically needed in fuzzy control systems.

  8. Fuzzy set operations - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_set_operations

    Fuzzy set operations are a generalization of crisp set operations for fuzzy sets. There is in fact more than one possible generalization. There is in fact more than one possible generalization. The most widely used operations are called standard fuzzy set operations ; they comprise: fuzzy complements , fuzzy intersections , and fuzzy unions .

  9. 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):