e., both systematic and random contributions to the total uncertainty. Random-fuzzy variable (RFV) is a type 2 fuzzy variable, defined using the mathematical...

system Fuzzy control system Fuzzy logic Fuzzy set Granular computing Perceptual Computing Rough set Soft set Vagueness Random-fuzzy variable L. A. Zadeh...

modern practice of random forests, in particular: Using out-of-bag error as an estimate of the generalization error. Measuring variable importance through...

effect of variables' uncertainties (or errors, more specifically random errors) on the uncertainty of a function based on them. When the variables are the...

uncertainty analysis History of measurement Propagation of uncertainty Random-fuzzy variable Repeatability Set identification Test method Uncertainty Uncertainty...

programmers often represent fuzzy concepts mathematically, using fuzzy logic, fuzzy values, fuzzy variables and fuzzy sets. Fuzzy logic can play a significant...

measurable set, then 1 A {\displaystyle \mathbf {1} _{A}} becomes a random variable whose expected value is equal to the probability of A: E ⁡ ( 1 A )...

(see for example Gerla 2001). Fuzzy measure theory Logical possibility Modal logic Probabilistic logic Random-fuzzy variable Transferable belief model Upper...

define a CRF on observations X {\displaystyle {\boldsymbol {X}}} and random variables Y {\displaystyle {\boldsymbol {Y}}} as follows: Let G = ( V , E ) {\displaystyle...

[citation needed] Fuzzy set Uncertainty Interval arithmetic Random variable Dijkman, J.G; Haeringen, H van; Lange, S.J de (1983). "Fuzzy numbers". Journal...

techniques to the input. (Fuzzy extractors convert biometric data into secret, uniformly random, and reliably reproducible random strings.) These techniques...

of random variables limited to intervals of finite length in a wide variety of disciplines. The beta distribution is a suitable model for the random behavior...

random variable Variance – Statistical measure of how far values spread from their average Fuzzy logic – System for reasoning about vagueness Fuzzy measure...

requirement excludes hash functions that depend on external variable parameters, such as pseudo-random number generators or the time of day. It also excludes...

controlled process variable (PV) at the desired setpoint (SP). There are several types of linear control systems with different capabilities. Fuzzy logic is an...

American Fuzzy Lop (AFL), stylized in all lowercase as american fuzzy lop, is a free software fuzzer that employs genetic algorithms in order to efficiently...

Levy martingale) is a stochastic process that approximates a given random variable and has the martingale property with respect to the given filtration...

other very efficient fuzzy classifiers. Algorithms for constructing decision trees usually work top-down, by choosing a variable at each step that best...

conditional expectation of a random variable. The objective is to find a non-linear relation between a pair of random variables X and Y. In any nonparametric...

denotes an argument of a function. Free variables and bound variables A random variable is a kind of variable that is used in probability theory and its...

Jinwu (2016). "Law of Large Numbers for Uncertain Random Variables". IEEE Transactions on Fuzzy Systems. 24 (3): 615–621. doi:10.1109/TFUZZ.2015.2466080...

_{t=0}^{\infty }\gamma ^{t}R_{t+1}\mid S_{0}=s\right],} where the random variable G {\displaystyle G} denotes the discounted return, and is defined as...

is effectively random. Treatment assignment at the threshold can be "as good as random" if there is randomness in the assignment variable and the agents...

that transform a number of variables into a fuzzy result, that is, the result is described in terms of membership in fuzzy sets. For example, rules designed...

random, this is rarely the case in actuality. Pairwise deletion (or "available case analysis") involves deleting a case when it is missing a variable...

statistics Random regular graph Random sample Random sampling Random sequence Random variable Random variate Random walk Random walk hypothesis Randomization Randomized...

suitable to be used with fuzzy sets and further called fuzzy metric spaces A probability metric D between two random variables X and Y may be defined,...

weights and parameters will themselves be random variables, and prior distributions will be placed over the variables. In such a case, the weights are typically...

Fuzzy Systems Handbook, Second Edition Earl Cox, Academic Press, 1999 ISBN 0-12-194455-7 Ch 6 Fuzzy Reasoning, § 1 The Role of Linguistic Variables On...

When looking at fuzzy logic rule evaluation, membership functions convert our non-binary input information into tangible variables. These membership...