{ "_id": "6a141733acfb0bcc41d3c588", "Package": "FuzzyResampling", "Type": "Package", "Title": "Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers", "Version": "0.6.4", "Authors@R": "c(\nperson(\"Maciej\", \"Romaniuk\", email = \"mroman@ibspan.waw.pl\", role = c(\"aut\",\"cre\")),\nperson(\"Przemyslaw\", \"Grzegorzewski\", email = \"przemyslaw.grzegorzewski@ibspan.waw.pl\", role = \"aut\"),\nperson(\"Olgierd\", \"Hryniewicz\", email = \"hryniewi@ibspan.waw.pl\", role = \"aut\"))", "Maintainer": "Maciej Romaniuk ", "Description": "The classical (i.e. Efron's, see Efron and Tibshirani\n(1994, ISBN:978-0412042317) \"An Introduction to the Bootstrap\")\nbootstrap is widely used for both the real (i.e. \"crisp\") and\nfuzzy data. The main aim of the algorithms implemented in this\npackage is to overcome a problem with repetition of a few\ndistinct values and to create fuzzy numbers, which are\n\"similar\" (but not the same) to values from the initial sample.\nTo do this, different characteristics of triangular/trapezoidal\nnumbers are kept (like the value, the ambiguity, etc., see\nGrzegorzewski et al. ,\nGrzegorzewski et al. (2020) ,\nGrzegorzewski et al. (2020) ,\nGrzegorzewski and Romaniuk (2022)\n, Romaniuk and Hryniewicz\n(2019) ). Some additional\nprocedures related to these resampling methods are also\nprovided, like calculation of the Bertoluzza et al.'s distance\n(aka the mid/spread distance, see Bertoluzza et al. (1995) \"On\na new class of distances between fuzzy numbers\") and estimation\nof the p-value of the one- and two- sample bootstrapped test\nfor the mean (see Lubiano et al. (2016,\n)). Additionally, there are\nprocedures which randomly generate trapezoidal fuzzy numbers\nusing some well-known statistical distributions.", "URL": "https://github.com/mroman-ibs/FuzzyResampling", "BugReports": "https://github.com/mroman-ibs/FuzzyResampling/issues", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "VignetteBuilder": "R.rsp", "Repository": "https://mroman-ibs.r-universe.dev", "Date/Publication": "2024-10-04 09:19:22 UTC", "RemoteUrl": "https://github.com/mroman-ibs/fuzzyresampling", "RemoteRef": "HEAD", "RemoteSha": "a5fa3e5cbd1e58d4c3fc433f1c580ee41071eb61", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 09:29:07 UTC", "User": "root" }, "Author": "Maciej Romaniuk [aut, cre],\nPrzemyslaw Grzegorzewski [aut],\nOlgierd Hryniewicz [aut]", "MD5sum": "3e5a0843604ee994937d1cd063e7a00c", "_user": "mroman-ibs", "_type": "src", "_file": "FuzzyResampling_0.6.4.tar.gz", "_fileid": 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"VAFMethod", "VAMethod", "WMethod" ], "_help": [ { "page": "BertoluzzaDistance", "title": "Calculate Bertoluzza's (mid/spread) distance for triangular and trapezoidal fuzzy numbers", "topics": [ "BertoluzzaDistance" ] }, { "page": "CalculateAmbiguity", "title": "Calculation of the ambiguity for triangular and trapezoidal fuzzy numbers", "concept": [ "characteristics of fuzzy numbers functions" ], "topics": [ "CalculateAmbiguity" ] }, { "page": "CalculateAmbiguityL", "title": "Calculation of the left-hand ambiguity for triangular and trapezoidal fuzzy numbers", "concept": [ "characteristics of fuzzy numbers functions" ], "topics": [ "CalculateAmbiguityL" ] }, { "page": "CalculateAmbiguityR", "title": "Calculation of the right-hand ambiguity for triangular and trapezoidal fuzzy numbers", "concept": [ "characteristics of fuzzy numbers functions" ], "topics": [ "CalculateAmbiguityR" ] }, { "page": "CalculateExpValue", "title": "Calculation of the expected value for triangular and trapezoidal fuzzy numbers", "concept": [ "characteristics of fuzzy numbers functions" ], "topics": [ "CalculateExpValue" ] }, { "page": "CalculateFuzziness", "title": "Calculation of the fuzziness for triangular and trapezoidal fuzzy numbers", "concept": [ "characteristics of fuzzy numbers functions" ], "topics": [ "CalculateFuzziness" ] }, { "page": "CalculateValue", "title": "Calculation of the value for triangular and trapezoidal fuzzy numbers", "concept": [ "characteristics of fuzzy numbers functions" ], "topics": [ "CalculateValue" ] }, { "page": "CalculateWidth", "title": "Calculation of the width for triangular and trapezoidal fuzzy numbers", "concept": [ "characteristics of fuzzy numbers functions" ], "topics": [ "CalculateWidth" ] }, { "page": "classicalBootstrap", "title": "Classical bootstrap procedure for triangular and trapezoidal fuzzy numbers", "concept": [ "resampling functions" ], "topics": [ "ClassicalBootstrap" ] }, { "page": "ComparePowerOneSampleCTest", "title": "Comparison of the resampling approaches based on the power for the one-sample test for the mean.", "concept": [ "comparison of resampling methods" ], "topics": [ "ComparePowerOneSampleCTest" ] }, { "page": "ComparisonOneSampleCTest", "title": "Comparison of the resampling approaches based on the power for the one-sample test for the mean.", "concept": [ "comparison of resampling methods" ], "topics": [ "ComparisonOneSampleCTest" ] }, { "page": "ComparisonSEMean", "title": "Comparison of the resampling approaches based on the SE/MSE for the mean.", "concept": [ "comparison of resampling methods" ], "topics": [ "ComparisonSEMean" ] }, { "page": "dmethod", "title": "d method for resampling triangular and trapezoidal fuzzy numbers", "concept": [ "resampling functions" ], "topics": [ "DMethod" ] }, { "page": "EWmethod", "title": "E(xpected value)W(idth) resampling method for triangular and trapezoidal fuzzy numbers", "concept": [ "resampling functions" ], "topics": [ "EWMethod" ] }, { 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