| 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 |