lfl: Linguistic Fuzzy Logic

Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar, Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.

Version: 2.2.0
Depends: R (≥ 3.6)
Imports: Rcpp (≥ 0.12.12), foreach, forecast (≥ 5.5), plyr, tseries, e1071, zoo
LinkingTo: Rcpp
Suggests: testthat, doMC, knitr, rmarkdown, R.rsp
Published: 2022-09-08
Author: Michal Burda ORCID iD [aut, cre]
Maintainer: Michal Burda <michal.burda at osu.cz>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Language: en-US
Citation: lfl citation info
Materials: README NEWS
In views: MissingData
CRAN checks: lfl results

Documentation:

Reference manual: lfl.pdf
Vignettes: lfl: An R Package for Linguistic Fuzzy Logic

Downloads:

Package source: lfl_2.2.0.tar.gz
Windows binaries: r-devel: lfl_2.2.0.zip, r-release: lfl_2.2.0.zip, r-oldrel: lfl_2.2.0.zip
macOS binaries: r-release (arm64): lfl_2.2.0.tgz, r-oldrel (arm64): lfl_2.2.0.tgz, r-release (x86_64): lfl_2.2.0.tgz
Old sources: lfl archive

Linking:

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