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https://github.com/beerda/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)

https://github.com/beerda/lfl

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    Scientific vocabulary similarity
    Low similarity (12.7%) to scientific vocabulary

Keywords

association-rules forecast-model fuzzy-logic inference-rules
Last synced: 9 months ago · JSON representation

Repository

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)

Basic Info
  • Host: GitHub
  • Owner: beerda
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 945 KB
Statistics
  • Stars: 8
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 6
Topics
association-rules forecast-model fuzzy-logic inference-rules
Created almost 9 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog

README.Rmd 

---
output:
  github_document:
    html_preview: false
---



```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```

[![CRAN status](https://www.r-pkg.org/badges/version/lfl)](https://CRAN.R-project.org/package=lfl)
[![codecov](https://codecov.io/gh/beerda/lfl/branch/master/graph/badge.svg)](https://app.codecov.io/gh/beerda/lfl)


# 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](https://github.com/beerda/lfl/blob/master/vignettes/main.pdf).


## Installation

To install the stable version from CRAN, simply issue the following command within your R session:

```{r cran-installation, eval = FALSE}
install.packages("lfl")
```

If you want to install the development version instead, type:

```{r gh-installation, eval = FALSE}
install.packages("devtools")
devtools::install_github("beerda/lfl")
```

Owner

  • Name: Michal Burda
  • Login: beerda
  • Kind: user
  • Location: Czech Republic
  • Company: University of Ostrava

GitHub Events

Total
  • Release event: 1
  • Push event: 17
  • Create event: 1
Last Year
  • Release event: 1
  • Push event: 17
  • Create event: 1

Dependencies

DESCRIPTION cran
  • R >= 3.6 depends
  • Rcpp >= 0.12.12 imports
  • e1071 * imports
  • foreach * imports
  • forecast >= 5.5 imports
  • plyr * imports
  • tseries * imports
  • zoo * imports
  • R.rsp * suggests
  • doMC * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
.github/workflows/rhub.yaml actions
  • r-hub/actions/checkout v1 composite
  • r-hub/actions/platform-info v1 composite
  • r-hub/actions/run-check v1 composite
  • r-hub/actions/setup v1 composite
  • r-hub/actions/setup-deps v1 composite
  • r-hub/actions/setup-r v1 composite