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Such quantifiers allow natural language to use external vagueness more strongly and explicitly, thus allowing internal vagueness to be partially shifted up to external vagueness. It is a way to draw the addressee's attention to the vagueness of the message more explicitly and to quantify the vagueness, thus improving understanding in ...
In American constitutional law, a statute is void for vagueness and unenforceable if it is too vague for the average citizen to understand. This is because constitutionally permissible activity may not be chilled because of a statute's vagueness (either because the statute is a penal statute with criminal or quasi-criminal civil penalties, or because the interest invaded by the vague law is ...
For engineers, "Fuzziness is imprecision or vagueness of definition." [ 4 ] For scientists, a fuzzy concept is an idea which is "to an extent applicable" in a situation. It means that the concept can have gradations of significance or unsharp (variable) boundaries of application; a fuzzy statement is a statement which is true "to some extent ...
in rebus vagueness The view that vagueness is a feature of the world, rather than of language or of human knowledge. [123] Contrast epistemic vagueness and semantic vagueness. See also ontic vagueness. insolubilia Unsolvable problems or paradoxes, especially those related to self-reference and logical contradiction, such as the liar paradox ...
Epistemicism is a position about vagueness in the philosophy of language or metaphysics, according to which there are facts about the boundaries of a vague predicate which we cannot possibly discover. Given a vague predicate, such as 'is thin' or 'is bald', epistemicists hold that there is some sharp cutoff, dividing cases where a person, for ...
In philosophical logic, supervaluationism is a semantics for dealing with irreferential singular terms and vagueness. [1] It allows one to apply the tautologies of propositional logic in cases where truth values are undefined. According to supervaluationism, a proposition can have a definite truth value even when its components do not.
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Fuzzy logic is based on the observation that people make decisions based on imprecise and non-numerical information. Fuzzy models or fuzzy sets are mathematical means of representing vagueness and imprecise information (hence the term fuzzy). These models have the capability of recognising, representing, manipulating, interpreting, and using ...