Lfl
linguistic fuzzy logic algorithms: 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)
Install / Use
npx skills add beerda/lflInstalls into whichever agent you are using.
README
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.
Documentation
The complete documentation of the package is available in this vignette.
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")
Related Skills
node-connect
385.5kDiagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.
blender-python-addon
40.5kBlender Python add-on rules for operators, panels, properties, registration, testing, and API-safe scripting
flutter-development-guidelines-cursorrules-prompt-file
40.5kCursor rules for Flutter development with MVVM architecture, Riverpod state management, Material widgets, and Dart style guidelines.
commit-push-pr
140.7kCommit, push, and open a PR
