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  2. Fuzzy markup language - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_markup_language

    FML was designed and developed by Giovanni Acampora during his Ph.D. course in Computer Science, at University of Salerno, Italy, in 2004.The original idea inspired Giovanni Acampora to create FML was the necessity of creating a cooperative fuzzy-based framework aimed at automatically controlling a living environment characterized by a plethora of heterogeneous devices whose interactions were ...

  3. 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).

  4. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    NOVAS is a software library for astrometry-related numerical computations. Both Fortran and C versions are available. Netlib is a repository of scientific computing software which contains a large number of separate programs and libraries including BLAS, EISPACK, LAPACK and others. PAW is a free data analysis package developed at CERN.

  5. GNU Octave - Wikipedia

    en.wikipedia.org/wiki/GNU_Octave

    GNU Octave is a scientific programming language for scientific computing and numerical computation.Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.

  6. SymbolicC++ - Wikipedia

    en.wikipedia.org/wiki/SymbolicC++

    SymbolicC++ is described in a series of books on computer algebra. The first book [5] described the first version of SymbolicC++. In this version the main data type for symbolic computation was the Sum class. The list of available classes included Verylong : An unbounded integer implementation

  7. Type-2 fuzzy sets and systems - Wikipedia

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

    Type-2 fuzzy sets and systems generalize standard Type-1 fuzzy sets and systems so that more uncertainty can be handled. From the beginning of fuzzy sets, criticism was made about the fact that the membership function of a type-1 fuzzy set has no uncertainty associated with it, something that seems to contradict the word fuzzy, since that word has the connotation of much uncertainty.

  8. 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 ...

  9. Bart Kosko - Wikipedia

    en.wikipedia.org/wiki/Bart_Kosko

    Bart Andrew Kosko (born February 7, 1960) is an American writer and professor of electrical engineering and law at the University of Southern California (USC). He is a researcher and popularizer of fuzzy logic, neural networks, and noise, and the author of several trade books and textbooks on these and related subjects of machine intelligence.