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  2. T-norm - Wikipedia

    en.wikipedia.org/wiki/T-norm

    As the standard negator is used in the above definition of a t-norm/t-conorm pair, this can be generalized as follows: A De Morgan triplet is a triple (T,⊥,n) such that [1] T is a t-norm; ⊥ is a t-conorm according to the axiomatic definition of t-conorms as mentioned above; n is a strong negator

  3. Fuzzy concept - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_concept

    A fuzzy concept is an idea of which the boundaries of application can vary considerably according to context or conditions, instead of being fixed once and for all. [1] This means the idea is somewhat vague or imprecise. [2]

  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 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.

  6. Fuzzy logic - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_logic

    Since the fuzzy system output is a consensus of all of the inputs and all of the rules, fuzzy logic systems can be well behaved when input values are not available or are not trustworthy. Weightings can be optionally added to each rule in the rulebase and weightings can be used to regulate the degree to which a rule affects the output values.

  7. Spaces of test functions and distributions - Wikipedia

    en.wikipedia.org/wiki/Spaces_of_test_functions...

    The space of distributions, being defined as the continuous dual space of (), is then endowed with the (non-metrizable) strong dual topology induced by () and the canonical LF-topology (this topology is a generalization of the usual operator norm induced topology that is placed on the continuous dual spaces of normed spaces).

  8. Schur's property - Wikipedia

    en.wikipedia.org/wiki/Schur's_property

    In mathematics, Schur's property, named after Issai Schur, is the property of normed spaces that is satisfied precisely if weak convergence of sequences entails convergence in norm. Motivation [ edit ]

  9. Normed vector space - Wikipedia

    en.wikipedia.org/wiki/Normed_vector_space

    Every normed vector space can be "uniquely extended" to a Banach space, which makes normed spaces intimately related to Banach spaces. Every Banach space is a normed space but converse is not true. For example, the set of the finite sequences of real numbers can be normed with the Euclidean norm , but it is not complete for this norm.