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>, Romaniuk and Hryniewicz (2019) <doi:10.1007/s00500-018-3251-5>).

Version: 0.1.0
Imports: ttutils, stats
Published: 2021-09-15
Author: Maciej Romaniuk [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
Materials: README
CRAN checks: FuzzyResampling results


Reference manual: FuzzyResampling.pdf
Package source: FuzzyResampling_0.1.0.tar.gz
Windows binaries: r-devel: FuzzyResampling_0.1.0.zip, r-release: FuzzyResampling_0.1.0.zip, r-oldrel: FuzzyResampling_0.1.0.zip
macOS binaries: r-release (arm64): FuzzyResampling_0.1.0.tgz, r-release (x86_64): FuzzyResampling_0.1.0.tgz, r-oldrel: FuzzyResampling_0.1.0.tgz


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