fuzzy$30586$ - translation to dutch
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fuzzy$30586$ - translation to dutch

SYSTEM FOR REASONING ABOUT VAGUENESS
Fuzzy Logic; Fuzzy logician; Formal fuzzy logic; Fuzzy transportation; Fuzzy Transportation; Fuzzy logics; Fuzzy databases; Applications of fuzzy logic; Compensatory fuzzy logic; Fuzzy inference; Fuzzy inference system; Linguistic variable (fuzzy logic); Zadeh operator; Fuzzy Turing machine; Fuzzy database; Fuzzy relational database; Propositional fuzzy logic; Gödel fuzzy logic; Product fuzzy logic; Probability and fuzzy logic; Fuzzy logic and probability

fuzzy      
adj. donzig, zacht; bedekt met veren; vaag, onduidelijk; verward
fuzzy logic         
vage logica, die in tegenstelling tot de klassieke logica rekening houdt met veranderlijke invloeden als tijd en groei
check sum         
  • Effect of a typical checksum function (the Unix<code>[[cksum]]</code> utility)
SMALL-SIZE DATUM COMPUTED FROM AN ARBITRARY BLOCK OF DIGITAL DATA FOR THE PURPOSE OF DETECTING ERRORS
Check sum; Check-sum; Checksums; Integrity check value; Checksun; ICV - Integrity Check Value; Checksum algorithm; Header checksum; Modular sum; Fuzzy checksum; Checksum function
controle som (een gegeven cijfer als indicatie voor juistheid van een reeks cijfers door vergelijking met de optel uitkomst)

Definition

fuzzy subset
In fuzzy logic, a fuzzy subset F of a set S is defined by a "membership function" which gives the degree of membership of each element of S belonging to F.

Wikipedia

Fuzzy logic

Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1.

The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Iranian Azerbaijani mathematician Lotfi Zadeh. Fuzzy logic had, however, been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.

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 data and information that are vague and lack certainty.

Fuzzy logic has been applied to many fields, from control theory to artificial intelligence.