Table of Contents
14 relations: Central limit theorem, Continuous uniform distribution, Dempster–Shafer theory, Fuzzy set, Gamma distribution, Information and Computation, Lotfi A. Zadeh, Observational error, Possibility theory, Probability distribution, Probability theory, Springer Science+Business Media, T-norm, Type-2 fuzzy sets and systems.
Central limit theorem
In probability theory, the central limit theorem (CLT) states that, under appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normal distribution.
See Random-fuzzy variable and Central limit theorem
Continuous uniform distribution
In probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions.
See Random-fuzzy variable and Continuous uniform distribution
Dempster–Shafer theory
The theory of belief functions, also referred to as evidence theory or Dempster–Shafer theory (DST), is a general framework for reasoning with uncertainty, with understood connections to other frameworks such as probability, possibility and imprecise probability theories.
See Random-fuzzy variable and Dempster–Shafer theory
Fuzzy set
In mathematics, fuzzy sets (also known as uncertain sets) are sets whose elements have degrees of membership. Random-fuzzy variable and fuzzy set are fuzzy logic.
See Random-fuzzy variable and Fuzzy set
Gamma distribution
In probability theory and statistics, the gamma distribution is a versatile two-parameter family of continuous probability distributions.
See Random-fuzzy variable and Gamma distribution
Information and Computation
Information and Computation is a closed-access computer science journal published by Elsevier (formerly Academic Press).
See Random-fuzzy variable and Information and Computation
Lotfi A. Zadeh
Lotfi Aliasker Zadeh (Lütfi Rəhim oğlu Ələsgərzadə; لطفی علیعسکرزاده; 4 February 1921 – 6 September 2017) was a mathematician, computer scientist, electrical engineer, artificial intelligence researcher, and professor of computer science at the University of California, Berkeley.
See Random-fuzzy variable and Lotfi A. Zadeh
Observational error
Observational error (or measurement error) is the difference between a measured value of a quantity and its unknown true value.
See Random-fuzzy variable and Observational error
Possibility theory
Possibility theory is a mathematical theory for dealing with certain types of uncertainty and is an alternative to probability theory. Random-fuzzy variable and Possibility theory are fuzzy logic.
See Random-fuzzy variable and Possibility theory
Probability distribution
In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment.
See Random-fuzzy variable and Probability distribution
Probability theory
Probability theory or probability calculus is the branch of mathematics concerned with probability.
See Random-fuzzy variable and Probability theory
Springer Science+Business Media
Springer Science+Business Media, commonly known as Springer, is a German multinational publishing company of books, e-books and peer-reviewed journals in science, humanities, technical and medical (STM) publishing.
See Random-fuzzy variable and Springer Science+Business Media
T-norm
In mathematics, a t-norm (also T-norm or, unabbreviated, triangular norm) is a kind of binary operation used in the framework of probabilistic metric spaces and in multi-valued logic, specifically in fuzzy logic. Random-fuzzy variable and t-norm are fuzzy logic.
See Random-fuzzy variable and T-norm
Type-2 fuzzy sets and systems
Type-2 fuzzy sets and systems generalize standard Type-1 fuzzy sets and systems so that more uncertainty can be handled. Random-fuzzy variable and Type-2 fuzzy sets and systems are fuzzy logic.
See Random-fuzzy variable and Type-2 fuzzy sets and systems