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README.md
In lfl: Linguistic Fuzzy Logic
lfl
The lfl package provides 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.
Installation
To install the stable version from CRAN, simply issue the following
command within your R session:
install.packages("lfl")
If you want to install the development version instead, type:
install.packages("devtools")
devtools::install_github("beerda/lfl")
Try the lfl package in your browser
Any scripts or data that you put into this service are public.
lfl documentation built on Sept. 8, 2022, 5:08 p.m.
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lfl
The lfl package provides 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.
Installation
To install the stable version from CRAN, simply issue the following command within your R session:
install.packages("lfl")
If you want to install the development version instead, type:
install.packages("devtools")
devtools::install_github("beerda/lfl")
Try the lfl package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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