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2. 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):

3. Fuzzy logic - Wikipedia

   en.wikipedia.org/wiki/Fuzzy_logic

   Fuzzy logic is an important concept in medical decision making. Since medical and healthcare data can be subjective or fuzzy, applications in this domain have a great potential to benefit a lot by using fuzzy-logic-based approaches. Fuzzy logic can be used in many different aspects within the medical decision making framework.

4. Type-2 fuzzy sets and systems - Wikipedia

   en.wikipedia.org/wiki/Type-2_fuzzy_sets_and_systems

   The answer to this question was provided in 1975 by the inventor of fuzzy sets, Lotfi A. Zadeh, [1] when he proposed more sophisticated kinds of fuzzy sets, the first of which he called a "type-2 fuzzy set". A type-2 fuzzy set lets us incorporate uncertainty about the membership function into fuzzy set theory, and is a way to address the above ...

5. 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.

6. 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 .

7. 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).

8. Possibility theory - Wikipedia

   en.wikipedia.org/wiki/Possibility_theory

   Note that unlike possibility, fuzzy logic is compositional with respect to both the union and the intersection operator. The relationship with fuzzy theory can be explained with the following classic example. Fuzzy logic: When a bottle is half full, it can be said that the level of truth of the proposition "The bottle is full" is 0.5.

9. 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 ...