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  2. 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.

  3. Soft computing - Wikipedia

    en.wikipedia.org/wiki/Soft_computing

    Soft computing is an umbrella term used to describe types of algorithms that produce approximate solutions to unsolvable high-level problems in computer science. Typically, traditional hard-computing algorithms heavily rely on concrete data and mathematical models to produce solutions to problems.

  4. T-norm fuzzy logics - Wikipedia

    en.wikipedia.org/wiki/T-norm_fuzzy_logics

    A systematic study of particular t-norm fuzzy logics and their classes began with Hájek's (1998) monograph Metamathematics of Fuzzy Logic, which presented the notion of the logic of a continuous t-norm, the logics of the three basic continuous t-norms (Ɓukasiewicz, Gödel, and product), and the 'basic' fuzzy logic BL of all continuous t-norms ...

  5. 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).

  6. Category:Fuzzy logic - Wikipedia

    en.wikipedia.org/wiki/Category:Fuzzy_logic

    Download QR code; Print/export Download as PDF; Printable version; ... Fuzzy logic is a form of many-valued logic related to fuzzy sets. Pages in category "Fuzzy logic"

  7. Fuzzy mathematics - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_mathematics

    Fuzzy mathematics is the branch of mathematics including fuzzy set theory and fuzzy logic that deals with partial inclusion of elements in a set on a spectrum, as opposed to simple binary "yes" or "no" (0 or 1) inclusion. It started in 1965 after the publication of Lotfi Asker Zadeh's seminal work Fuzzy sets. [1]

  8. Neuro-fuzzy - Wikipedia

    en.wikipedia.org/wiki/Neuro-fuzzy

    Neuro-fuzzy hybridization is widely termed as fuzzy neural network (FNN) or neuro-fuzzy system (NFS) in the literature. Neuro-fuzzy system (the more popular term is used henceforth) incorporates the human-like reasoning style of fuzzy systems through the use of fuzzy sets and a linguistic model consisting of a set of IF-THEN fuzzy rules.

  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):