lfl: lfl - Linguistic Fuzzy Logic
In beerda/lfl: Linguistic Fuzzy Logic
lfl R Documentation
lfl - Linguistic Fuzzy Logic
Description
Various algorithms related (not only) 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).
Details
Other methods include fuzzy transform and computation of Sugeno integrals. Also basic algebraic
functions related to fuzzy logic are contained, which allow to handle missing values using different
styles such as Kleene, Bochvar, Sobocinski and other.
beerda/lfl documentation built on Feb. 15, 2023, 8:15 a.m.
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.
| lfl | R Documentation |
lfl - Linguistic Fuzzy Logic
Description
Various algorithms related (not only) 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).
Details
Other methods include fuzzy transform and computation of Sugeno integrals. Also basic algebraic functions related to fuzzy logic are contained, which allow to handle missing values using different styles such as Kleene, Bochvar, Sobocinski and other.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.