| adjusted.weight.MI |
Calculates the adjusted weight for a given main-item of a linguistic questionnaire |
| adjusted.weight.SI |
Calculates the adjusted weight for a given sub-item of a linguistic questionnaire |
| Bertoluzza |
Calculates a distance by the d_Bertoluzza between fuzzy numbers |
| boot.mean.algo1 |
Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 1 using the mean |
| boot.mean.algo2 |
Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 2 using the mean |
| boot.mean.ml |
Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 1 or 2 using the mean |
| cube |
Cube a number |
| D2 |
Calculates a distance by the D2 between fuzzy numbers |
| Defuzz.FANOVA |
Defuzzify the fuzzy sums of squares calculated by a FANOVA model by an exact calculation or an approximation |
| Delta.pq |
Calculates a distance by the d_Delta.pq between fuzzy numbers |
| Delta_jki |
Calculates the factor Delta_jki |
| distance |
Calculates a distance between fuzzy numbers |
| DSGD |
Calculates a distance by the SGD between fuzzy numbers |
| DSGD.G |
Calculates a distance by the d_DSGD.G between fuzzy numbers |
| FANOVA |
Computes a FANOVA model by a convenient metric, an exact calculation or an approximation |
| FANOVA.approximation |
Computes a FANOVA model by an approximation |
| FANOVA.distance |
Computes a FANOVA model by a convenient metric |
| FANOVA.exact |
Computes a FANOVA model by an exact calculation |
| FANOVA.summary |
Prints the summary of the estimation of a FANOVA metric-based model |
| fci.ml |
Estimates a fuzzy confidence interval by the Likelihood method |
| fci.ml.boot |
Estimates a fuzzy confidence interval by the Likelihood method |
| FMANOVA |
Computes a Mult-FANOVA model by a convenient metric, an exact calculation or an approximation |
| FMANOVA.approximation |
Computes a Mult-FANOVA model by an approximation |
| FMANOVA.distance |
Computes a Mult-FANOVA model by a convenient metric |
| FMANOVA.exact |
Computes a Mult-FANOVA model by an exact calculation |
| FMANOVA.interaction.summary |
Prints the summary of the estimation of the interaction in a Mult-FANOVA metric-based model |
| FMANOVA.summary |
Prints the summary of the estimation of a Mult-FANOVA metric-based model |
| Ftests |
Calculates multiple tests corresponding to the fuzzy response variable |
| FTukeyHSD |
Calculates the Tukey HSD test corresponding to the fuzzy response variable |
| FUZZ |
Fuzzifies a variable modelled by trapezoidal or triangular fuzzy numbers |
| Fuzzy.CI.ML.test |
Computes a fuzzy inference test by the fuzzy confidence intervals method calculated by the Likelihood method |
| Fuzzy.CI.test |
Computes a fuzzy inference test by the traditional fuzzy confidence intervals |
| Fuzzy.decisions |
Computes the fuzzy decisions of a fuzzy inference test by the traditional fuzzy confidence intervals |
| Fuzzy.decisions.ML |
Computes the fuzzy decisions of a fuzzy inference test by the fuzzy confidence intervals by the likelihood method |
| Fuzzy.Difference |
Calculates the difference between two fuzzy numbers |
| Fuzzy.exact.variance |
Calculates the exact variance |
| Fuzzy.exact.variance.poly.left |
Gives the polynomial forms of the numerical alpha-cuts modelling the exact variance |
| Fuzzy.exact.variance.poly.right |
Gives the polynomial forms of the numerical alpha-cuts modelling the exact variance |
| Fuzzy.p.value |
Computes the fuzzy p-value of a given fuzzy hypothesis test |
| Fuzzy.p.value.mean |
Computes the fuzzy p-value of a given fuzzy hypothesis test for the mean |
| fuzzy.predicted.values |
Calculates the fuzzy predicted values |
| fuzzy.residuals |
Calculates the fuzzy residuals |
| Fuzzy.sample.mean |
Calculates the fuzzy sample mean |
| Fuzzy.sample.variance.approximation |
Fuzzy sample variance (approx) - general |
| Fuzzy.sample.variance.approximation1 |
Fuzzy sample variance (approx) - method 1 |
| Fuzzy.sample.variance.approximation2 |
Fuzzy sample variance (approx) - method 2 |
| Fuzzy.sample.variance.approximation3 |
Fuzzy sample variance (approx) - method 3 |
| Fuzzy.sample.variance.approximation4 |
Fuzzy sample variance (approx) - method 4 |
| Fuzzy.sample.variance.approximation5 |
Fuzzy sample variance (approx) - method 5 |
| Fuzzy.Square |
Calculates numerically the square of a fuzzy number |
| Fuzzy.Square.poly.left |
Gives the polynomial expression of the left alpha-levels of the numerical square of a fuzzy number |
| Fuzzy.Square.poly.right |
Gives the polynomial expression of the right alpha-levels of the numerical square of a fuzzy number |
| Fuzzy.variance |
Calculates the variance by a chosen method: distance, exact or approximation |
| GaussianBellFuzzyNumber |
Creates a Gaussian two-sided bell fuzzy number |
| GaussianFuzzyNumber |
Creates a Gaussian fuzzy number |
| GFUZZ |
Fuzzifies a variable modelled by any type of fuzzy numbers |
| GLOB.EVAL |
Calculates the global evaluation of a linguistic questionnaire |
| GLOB.EVAL.mean |
Calculates the weighted mean of the set of individual evaluations |
| GSGD |
Calculates a distance between fuzzy numbers |
| IND.EVAL |
Calculates the individual evaluations of a linguistic questionnaire |
| int.0 |
Numerical integration by the trivial method - method 1 |
| int.ct |
Numerical integration by the composite trapezoidal method - method 3 |
| int.simpson |
Numerical integration by the Simpson method - method 4 |
| int.t |
Numerical integration - method 2 |
| integrate.num |
Numerical integration by a particular method |
| is.alphacuts |
Verifies if a matrix is set of left and right alpha-cuts |
| is.balanced |
Verifies if a design is balanced |
| is.fuzzification |
Verifies if a matrix is a fuzzification matrix |
| is.trfuzzification |
Verifies if a matrix is a fuzzification matrix of trapezoidal fuzzy numbers |
| Kurtosis |
Calculates the excess of kurtosis of a random fuzzy variable |
| Mid.Spr |
Calculates a distance by the d_Mid.Spr between fuzzy numbers |
| Moment |
Calculates a central sample moment of a random fuzzy variable |
| nbreakpoints |
Calculates the number of breakpoints of a numerical matrix of alpha-cuts |
| n_jk.. |
Calculates the number of answers by a specific sub-item |
| n_jkq. |
Calculates the number of answers by a specific linguistic of a sub-item |
| p.value.fisher |
Calculates the p-value of fuzzy observations taken from a Fisher distribution |
| p.value.log |
Calculates the p-value of fuzzy observations taken from a Logistic distribution |
| 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 |
| p.value.mean.poisson |
Calculates the p-value of fuzzy observations taken from a Poisson distribution for the mean |
| p.value.mean.Student |
Calculates the p-value of fuzzy observations taken from a Student distribution for the mean |
| p.value.normal |
Calculates the p-value of fuzzy observations taken from a normal distribution |
| p.value.poisson |
Calculates the p-value of fuzzy observations taken from a Poisson distribution |
| p.value.Student |
Calculates the p-value of fuzzy observations taken from a Student distribution |
| R |
Calculates the indicator of information's rate of the data base |
| Rho1 |
Calculates a distance by the Rho1 between fuzzy numbers |
| Rho2 |
Calculates a distance by the Rho2 between fuzzy numbers |
| Rhop |
Calculates a distance by the d_Rhop between fuzzy numbers |
| Ri |
Calculates the indicator of information's rate of the data base for a given unit |
| Sample.variance |
Calculates the sample variance by a convenient metric |
| SEQ.ORDERING |
Calculates the sequential sums of squares by a convenient metric |
| SEQ.ORDERING.APPROXIMATION |
Calculates the sequential sums of squares by an approximation |
| SEQ.ORDERING.EXACT |
Calculates the sequential sums of squares by an exact calculation |
| SGD |
Calculates a distance by the SGD between fuzzy numbers |
| Skewness |
Calculates the skewness of a random fuzzy variable |
| square |
Square a number |
| tr.gfuzz |
Fuzzifies a variable modelled by trapezoidal or triangular fuzzy numbers |
| wabl |
Calculates a distance by the d_wabl between fuzzy numbers |
| Weighted.fuzzy.mean |
Calculates the weighted fuzzy sample mean |
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