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...

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

represent fuzzy concepts mathematically, using fuzzy logic, fuzzy values, fuzzy variables and fuzzy sets (see also fuzzy set theory). Fuzzy logic is not...

or fuzzy sets and systems. Variables that take linguistic values are called linguistic variables. For example, "age" may be a linguistic variable if its...

Free and open-source software portal American Fuzzy Lop (AFL), stylized in all lowercase as american fuzzy lop, is a free software fuzzer that employs genetic...

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

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...

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

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

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

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

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

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

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...

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

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...

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

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

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...

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...

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...

correcting codes. Decorrelation Hardware random number generator Randomness merger Fuzzy extractor Extracting randomness from sampleable distributions. Portal...

clustering Cluster analysis BIRCH DBSCAN Expectation–maximization (EM) Fuzzy clustering Hierarchical clustering k-means clustering k-medians Mean-shift...

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,...

which a graph expresses the conditional dependence structure between random variables. Graphical models are commonly used in probability theory, statistics—particularly...

alternative approaches for axiomatization, such as the algebra of random variables. A probability space is a mathematical triplet ( Ω , F , P ) {\displaystyle...