Imputation Procedures and Quality Tests for Fuzzy Data

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Documentation for package ‘FuzzyImputationTest’ version 0.3.3

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ApplyStatisticalTests Statistical epistemic tests the imputed values.
CalculateFuzzyMeasures Calculation of the fuzzy measures for the imputed values.
distanceNames A vector containing names of the calculated distance measures between fuzzy numbers.
ErrorMatrix Calculation of the errors for the imputed values.
errorTypes A vector containing names of the types of the calculated errors.
FuzzifyMatrix Fuzzyfing the crisp values.
FuzzyImputation Main method to impute fuzzy values.
FuzzyNumbersToMatrix Conversion of a list of fuzzy numbers into a matrix.
ImputationDimp DIMP (d-imputation) method for fuzzy numbers.
ImputationTests Battery of test for the imputed fuzzy values.
IntroducingNA Introducing NAs to the specified matrix.
MatrixToFuzzyNumbers Conversion of a matrix to a list of fuzzy numbers.
MeasureAHD Function to calculate the AHD distance between two fuzzy numbers.
MeasureEuclidean Function to calculate the Euclidean distance between two fuzzy numbers.
MeasureHSD Function to calculate the HSD distance between two fuzzy numbers.
measuresTypes A vector containing names of the types of the calculated statistical measures.
methodNames A vector containing names of the resampling methods.
MethodsComparison Comparison of imputation methods for fuzzy values.
RemoveNotFuzzy Removing values that are not fuzzy numbers.
setsNames A vector containing names of the subsets used in the epistemic tests.
StatisticalMeasures Calculation of statistical measures for errors of the imputed data.
testsNames A vector containing names of the types of the applied epistemic tests.