FuzzyResampling: Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers

The classical (i.e. Efron's, see Efron and Tibshirani (1994, ISBN:978-0412042317) "An Introduction to the Bootstrap") bootstrap is widely used for both the real (i.e. "crisp") and fuzzy data. The main aim of the algorithms implemented in this package is to overcome a problem with repetition of a few distinct values and to create fuzzy numbers, which are "similar" (but not the same) to values from the initial sample. To do this, different characteristics of triangular/trapezoidal numbers are kept (like the value, the ambiguity, etc., see Grzegorzewski et al. <doi:10.2991/eusflat-19.2019.68>, Grzegorzewski et al. (2020) <doi:10.2991/ijcis.d.201012.003>, Grzegorzewski et al. (2020) <doi:10.34768/amcs-2020-0022>, Grzegorzewski and Romaniuk (2022) <doi:10.1007/978-3-030-95929-6_3>, Romaniuk and Hryniewicz (2019) <doi:10.1007/s00500-018-3251-5>). Some additional procedures related to these resampling methods are also provided, like calculation of the Bertoluzza et al.'s distance (aka the mid/spread distance, see Bertoluzza et al. (1995) "On a new class of distances between fuzzy numbers") and estimation of the p-value of the one- and two- sample bootstrapped test for the mean (see Lubiano et al. (2016, <doi:10.1016/j.ejor.2015.11.016>)). Additionally, there are procedures which randomly generate trapezoidal fuzzy numbers using some well-known statistical distributions.

Version: 0.6.3
Imports: stats, utils
Suggests: testthat (≥ 3.0.0)
Published: 2023-11-22
Author: Maciej Romaniuk [aut, cre], Przemyslaw Grzegorzewski [aut], Olgierd Hryniewicz [aut]
Maintainer: Maciej Romaniuk <mroman at ibspan.waw.pl>
BugReports: https://github.com/mroman-ibs/FuzzyResampling/issues
License: GPL-3
URL: https://github.com/mroman-ibs/FuzzyResampling
NeedsCompilation: no
Citation: FuzzyResampling citation info
Materials: README NEWS
CRAN checks: FuzzyResampling results

Documentation:

Reference manual: FuzzyResampling.pdf

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Package source: FuzzyResampling_0.6.3.tar.gz
Windows binaries: r-devel: FuzzyResampling_0.6.3.zip, r-release: FuzzyResampling_0.6.3.zip, r-oldrel: FuzzyResampling_0.6.3.zip
macOS binaries: r-release (arm64): FuzzyResampling_0.6.3.tgz, r-oldrel (arm64): FuzzyResampling_0.6.3.tgz, r-release (x86_64): FuzzyResampling_0.6.3.tgz
Old sources: FuzzyResampling archive

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