fuzzy correlation - definição. O que é fuzzy correlation. Significado, conceito
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O que (quem) é fuzzy correlation - 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

correlation         
  • [[Anscombe's quartet]]: four sets of data with the same correlation of 0.816
  • Example scatterplots of various datasets with various correlation coefficients.
ANY STATISTICAL RELATIONSHIP, WHETHER CAUSAL OR NOT, BETWEEN TWO RANDOM VARIABLES OR BIVARIATE DATA
Statistical correlation; Association (statistics); Positive correlation; Correlations; Correlated; Correlation matrix; Correlate; Correlational research; Correlation (statistics); Correlation (in statistics); Linear correlation; Coorelation coeficient; Simple correlation; Corelation; Stratified analysis; Correlated variables; Direct correlation; Linear relationship; Sample correlation; Correlation & dependence; Correlational Design; Statistical association; Correlational data; Correlation structure; Correlation structures; Positively correlated; Correlation and dependence; Correlation matrices
n. a correlation between
Correlated         
  • [[Anscombe's quartet]]: four sets of data with the same correlation of 0.816
  • Example scatterplots of various datasets with various correlation coefficients.
ANY STATISTICAL RELATIONSHIP, WHETHER CAUSAL OR NOT, BETWEEN TWO RANDOM VARIABLES OR BIVARIATE DATA
Statistical correlation; Association (statistics); Positive correlation; Correlations; Correlated; Correlation matrix; Correlate; Correlational research; Correlation (statistics); Correlation (in statistics); Linear correlation; Coorelation coeficient; Simple correlation; Corelation; Stratified analysis; Correlated variables; Direct correlation; Linear relationship; Sample correlation; Correlation & dependence; Correlational Design; Statistical association; Correlational data; Correlation structure; Correlation structures; Positively correlated; Correlation and dependence; Correlation matrices
·Impf & ·p.p. of Correlate.
correlate         
  • [[Anscombe's quartet]]: four sets of data with the same correlation of 0.816
  • Example scatterplots of various datasets with various correlation coefficients.
ANY STATISTICAL RELATIONSHIP, WHETHER CAUSAL OR NOT, BETWEEN TWO RANDOM VARIABLES OR BIVARIATE DATA
Statistical correlation; Association (statistics); Positive correlation; Correlations; Correlated; Correlation matrix; Correlate; Correlational research; Correlation (statistics); Correlation (in statistics); Linear correlation; Coorelation coeficient; Simple correlation; Corelation; Stratified analysis; Correlated variables; Direct correlation; Linear relationship; Sample correlation; Correlation & dependence; Correlational Design; Statistical association; Correlational data; Correlation structure; Correlation structures; Positively correlated; Correlation and dependence; Correlation matrices
['k?r?le?t, -r?-]
¦ verb have a relationship in which one thing affects or depends on another: most jobs do not directly correlate with GCSE subjects.
?establish a correlation between.
¦ noun each of two or more related or complementary things.
Origin
C17: back-form. from correlation and correlative.

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.