fuzzy cardinality - definição. O que é fuzzy cardinality. Significado, conceito
Diclib.com
Dicionário ChatGPT
Digite uma palavra ou frase em qualquer idioma 👆
Idioma:

Tradução e análise de palavras por inteligência artificial ChatGPT

Nesta página você pode obter uma análise detalhada de uma palavra ou frase, produzida usando a melhor tecnologia de inteligência artificial até o momento:

  • como a palavra é usada
  • frequência de uso
  • é usado com mais frequência na fala oral ou escrita
  • opções de tradução de palavras
  • exemplos de uso (várias frases com tradução)
  • etimologia

O que (quem) é fuzzy cardinality - definição

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 subset         
  • Some Key Developments in the Introduction of Fuzzy Set Concepts.<ref name="CADsurvey"/>
SETS WHOSE ELEMENTS HAVE DEGREES OF MEMBERSHIP
Fuzzy sets; Fuzzy set theory; Fuzzification; Fuzzy subset; Credibility(fuzzy); Fuzzy category; Goguen category; Fuzzy Sets; Fuzzy relation equation; Pythagorean fuzzy set; Degree of membership; Uncertain set
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.
Cardinality         
  • Bijective function from '''N''' to the set ''E'' of [[even number]]s. Although ''E'' is a proper subset of '''N''', both sets have the same cardinality.
  • '''blue'''}}:''n''∈''T''\''f''(''n'').
MEASURE OF THE “NUMBER OF ELEMENTS OF THE SET”, EITHER AS A CARDINAL NUMBER OR AS THE EQUIVALENCE CLASS OF SETS ADMITTING BIJECTIONS TO THIS SET
Cardinal comparison; Set modulus; Cardinalities; Finite cardinality; Set size; Number of elements
In mathematics, the cardinality of a set is a measure of the "number of elements" of the set. For example, the set A = \{2, 4, 6\} contains 3 elements, and therefore A has a cardinality of 3.
cardinality         
  • Bijective function from '''N''' to the set ''E'' of [[even number]]s. Although ''E'' is a proper subset of '''N''', both sets have the same cardinality.
  • '''blue'''}}:''n''∈''T''\''f''(''n'').
MEASURE OF THE “NUMBER OF ELEMENTS OF THE SET”, EITHER AS A CARDINAL NUMBER OR AS THE EQUIVALENCE CLASS OF SETS ADMITTING BIJECTIONS TO THIS SET
Cardinal comparison; Set modulus; Cardinalities; Finite cardinality; Set size; Number of elements
<mathematics> The number of elements in a set. If two sets have the same number of elements (i.e. there is a bijection between them) then they have the same cardinality. A cardinality is thus an isomorphism class in the category of sets. aleph 0 is defined as the cardinality of the first infinite ordinal, omega (the number of {natural numbers}). (1995-03-29)

Wikipédia

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.