FuzzySTs package - RDocumentation

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Install

install.packages('FuzzySTs')

Monthly Downloads

264

Version

0.4

License

MIT + file LICENSE

Maintainer

Redina Berkachy

Last Published

July 31st, 2025

Functions in FuzzySTs (0.4)

Computes a Mult-FANOVA model by an exact calculation

Calculates numerically the square of a fuzzy number

Computes a Mult-FANOVA model by a convenient metric, an exact calculation or an approximation

Prints the summary of the estimation of a FANOVA metric-based model

Fuzzy.Difference

Calculates the difference between two fuzzy numbers

FMANOVA.interaction.summary

Prints the summary of the estimation of the interaction in a Mult-FANOVA metric-based model

Fuzzy.exact.variance.poly.right

Gives the polynomial forms of the numerical alpha-cuts modelling the exact variance

Fuzzy.Square.poly.right

Gives the polynomial expression of the right alpha-levels of the numerical square of a fuzzy number

Computes the fuzzy p-value of a given fuzzy hypothesis test

Fuzzy.Square.poly.left

Gives the polynomial expression of the left alpha-levels of the numerical square of a fuzzy number

FANOVA.approximation

Computes a FANOVA model by an approximation

Calculates multiple tests corresponding to the fuzzy response variable

Fuzzifies a variable modelled by trapezoidal or triangular fuzzy numbers

Fuzzy.sample.variance.approximation2

Fuzzy sample variance (approx) - method 2

FMANOVA.approximation

Computes a Mult-FANOVA model by an approximation

Fuzzy.sample.mean

Calculates the fuzzy sample mean

Calculates the generalized signed distance between fuzzy numbers

Calculates the sequential sums of squares by a convenient metric

Fuzzy.p.value.mean

Computes the fuzzy p-value of a given fuzzy hypothesis test for the mean

GaussianBellFuzzyNumber

Creates a Gaussian two-sided bell fuzzy number

Calculates a distance by the SGD between fuzzy numbers

Fuzzy.exact.variance

Calculates the exact variance

SEQ.ORDERING.APPROXIMATION

Calculates the sequential sums of squares by an approximation

Fuzzy.sample.variance.approximation3

Fuzzy sample variance (approx) - method 3

Calculates the global evaluation of a linguistic questionnaire

Numerical integration - method 2

Calculates the weighted mean of the set of individual evaluations

Numerical integration by a particular method

FMANOVA.summary

Prints the summary of the estimation of a Mult-FANOVA metric-based model

boot.mean.algo2

Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 2 using the mean

FMANOVA.distance

Computes a Mult-FANOVA model by a convenient metric

SEQ.ORDERING.EXACT

Calculates the sequential sums of squares by an exact calculation

Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 1 or 2 using the mean

Calculates a distance between fuzzy numbers according to the chosen type

Calculates a distance by the d_wabl between fuzzy numbers

optimal.distance

Calculates the optimal distance between two fuzzy numbers according to the chosen type

Fuzzifies a variable modelled by trapezoidal or triangular fuzzy numbers

Estimates a fuzzy confidence interval by the Likelihood method

Calculates the number of breakpoints of a numerical matrix of alpha-cuts

p.value.Student

Calculates the p-value of fuzzy observations taken from a Student distribution

Calculates the skewness of a random fuzzy variable

Sample.variance

Calculates the sample variance by a convenient metric

Calculates the Tukey HSD test corresponding to the fuzzy response variable

Numerical integration by the composite trapezoidal method - method 3

Fuzzy.decisions.ML

Computes the fuzzy decisions of a fuzzy inference test by the fuzzy confidence intervals by the likelihood method

Fuzzy.sample.variance.approximation

Fuzzy sample variance (approx) - general

Fuzzy.sample.variance.approximation1

Fuzzy sample variance (approx) - method 1

Fuzzy.exact.variance.poly.left

Gives the polynomial forms of the numerical alpha-cuts modelling the exact variance

p.value.mean.poisson

Calculates the p-value of fuzzy observations taken from a Poisson distribution for the mean

Calculates the p-value of fuzzy observations taken from a Fisher distribution

Fuzzy.CI.ML.test

Computes a fuzzy inference test by the fuzzy confidence intervals method calculated by the Likelihood method

Computes a fuzzy inference test by the traditional fuzzy confidence intervals

Calculates a central sample moment of a random fuzzy variable

Calculates a distance by the d_Mid.Spr between fuzzy numbers

Calculates the excess of kurtosis of a random fuzzy variable

Calculates the indicator of information's rate of the data base

Fuzzy.sample.variance.approximation4

Fuzzy sample variance (approx) - method 4

Fuzzy.decisions

Computes the fuzzy decisions of a fuzzy inference test by the traditional fuzzy confidence intervals

Calculates the variance by a chosen method: distance, exact or approximation

Calculates a distance by the Rho1 between fuzzy numbers

Fuzzy.sample.variance.approximation5

Fuzzy sample variance (approx) - method 5

is.fuzzification

Verifies if a matrix is a fuzzification matrix

Calculates the number of answers by a specific sub-item

Numerical integration by the Simpson method - method 4

Calculates the factor Delta_jki

Verifies if a matrix is set of left and right alpha-cuts

p.value.mean.log

Calculates the p-value of fuzzy observations taken from a logistic distribution for the mean

p.value.mean.normal

Calculates the p-value of fuzzy observations taken from a normal distribution for the mean

is.trfuzzification

Verifies if a matrix is a fuzzification matrix of trapezoidal fuzzy numbers

Calculates the p-value of fuzzy observations taken from a normal distribution

adjusted.weight.MI

Calculates the adjusted weight for a given main-item of a linguistic questionnaire

Weighted.fuzzy.mean

Calculates the weighted fuzzy sample mean

fuzzy.residuals

Calculates the fuzzy residuals

Fuzzifies a variable modelled by any type of fuzzy numbers

p.value.poisson

Calculates the p-value of fuzzy observations taken from a Poisson distribution

Calculates a distance by the Rho2 between fuzzy numbers

Calculates the individual evaluations of a linguistic questionnaire

Estimates a fuzzy confidence interval by the Likelihood method

GaussianFuzzyNumber

Creates a Gaussian fuzzy number

Verifies if a design is balanced

Square a number

Numerical integration by the trivial method - method 1

boot.mean.algo1

Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 1 using the mean

Calculates the p-value of fuzzy observations taken from a Logistic distribution

Calculates the number of answers by a specific linguistic of a sub-item

Calculates a distance by the d_Rhop between fuzzy numbers

p.value.mean.Student

Calculates the p-value of fuzzy observations taken from a Student distribution for the mean

Calculates the indicator of information's rate of the data base for a given unit

adjusted.weight.SI

Calculates the adjusted weight for a given sub-item of a linguistic questionnaire

fuzzy.predicted.values

Calculates the fuzzy predicted values

Calculates a distance by the d_Bertoluzza between fuzzy numbers

Defuzzify the fuzzy sums of squares calculated by a FANOVA model by an exact calculation or an approximation

FANOVA.distance

Computes a FANOVA model by a convenient metric

Calculates a distance by the d_DSGD.G between fuzzy numbers

Computes a FANOVA model by an exact calculation

Calculates a distance by the SGD between fuzzy numbers

Calculates a distance by the d_Delta.pq between fuzzy numbers

Calculates a distance by the D2 between fuzzy numbers

Computes a FANOVA model by a convenient metric, an exact calculation or an approximation