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  "Title": "Imputation Procedures and Quality Tests for Fuzzy Data",
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  "Authors@R": "c(\nperson(\"Maciej\", \"Romaniuk\", email = \"mroman@ibspan.waw.pl\",\nrole = c(\"cre\",\"aut\"),comment = c(ORCID = \"0000-0001-9649-396X\"))\n)",
  "Description": "Special procedures for the imputation of missing fuzzy\nnumbers are still underdeveloped. The goal of the package is to\nprovide the new d-imputation method (DIMP for short, Romaniuk,\nM. and Grzegorzewski, P. (2023) \"Fuzzy Data Imputation with\nDIMP and FGAIN\" RB/23/2023) and covert some classical ones\napplied in R packages ('missForest','miceRanger','knn') for use\nwith fuzzy datasets. Additionally, specially tailored\nbenchmarking tests are provided to check and compare these\nimputation procedures with fuzzy datasets.",
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  "NeedsCompilation": "no",
  "Encoding": "UTF-8",
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  "Repository": "https://mroman-ibs.r-universe.dev",
  "Date/Publication": "2026-07-01 03:36:17 UTC",
  "RemoteUrl": "https://github.com/mroman-ibs/fuzzyimputationtest",
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  "Maintainer": "Maciej Romaniuk <mroman@ibspan.waw.pl>",
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    "MeasureHSD",
    "methodNames",
    "MethodsComparison",
    "RemoveNotFuzzy",
    "StatisticalMeasures"
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    {
      "page": "ApplyStatisticalTests",
      "title": "Statistical epistemic tests the imputed values.",
      "topics": [
        "ApplyStatisticalTests"
      ]
    },
    {
      "page": "CalculateFuzzyMeasures",
      "title": "Calculation of the fuzzy measures for the imputed values.",
      "topics": [
        "CalculateFuzzyMeasures"
      ]
    },
    {
      "page": "ErrorMatrix",
      "title": "Calculation of the errors for the imputed values.",
      "topics": [
        "ErrorMatrix"
      ]
    },
    {
      "page": "FuzzifyMatrix",
      "title": "Fuzzyfing the crisp values.",
      "topics": [
        "FuzzifyMatrix"
      ]
    },
    {
      "page": "FuzzyImputation",
      "title": "Main method to impute fuzzy values.",
      "topics": [
        "FuzzyImputation"
      ]
    },
    {
      "page": "FuzzyNumbersToMatrix",
      "title": "Conversion of a list of fuzzy numbers into a matrix.",
      "topics": [
        "FuzzyNumbersToMatrix"
      ]
    },
    {
      "page": "ImputationDimp",
      "title": "DIMP (d-imputation) method for fuzzy numbers.",
      "topics": [
        "ImputationDimp"
      ]
    },
    {
      "page": "ImputationTests",
      "title": "Battery of test for the imputed fuzzy values.",
      "topics": [
        "ImputationTests"
      ]
    },
    {
      "page": "IntroducingNA",
      "title": "Introducing NAs to the specified matrix.",
      "topics": [
        "IntroducingNA"
      ]
    },
    {
      "page": "MatrixToFuzzyNumbers",
      "title": "Conversion of a matrix to a list of fuzzy numbers.",
      "topics": [
        "MatrixToFuzzyNumbers"
      ]
    },
    {
      "page": "MeasureAHD",
      "title": "Function to calculate the AHD distance between two fuzzy numbers.",
      "topics": [
        "MeasureAHD"
      ]
    },
    {
      "page": "MeasureEuclidean",
      "title": "Function to calculate the Euclidean distance between two fuzzy numbers.",
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        "MeasureEuclidean"
      ]
    },
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        "MeasureHSD"
      ]
    },
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      "title": "A vector containing names of the resampling methods.",
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        "methodNames"
      ]
    },
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      "title": "Comparison of imputation methods for fuzzy values.",
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      ]
    },
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        "RemoveNotFuzzy"
      ]
    },
    {
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      ]
    },
    {
      "page": "summary.impTest",
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      ]
    },
    {
      "page": "summary.metComp",
      "title": "Print summary of the comparison of the imputation methods.",
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        "summary.metComp"
      ]
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