Package: mabacR 0.1.0

mabacR: Assisting Decision Makers

Easy implementation of the MABAC multi-criteria decision method, that was introduced by Pamučar and Ćirović in the work entitled: "The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)" - <doi:10.1016/j.eswa.2014.11.057> - which aimed to choose implements for logistics centers. This package receives data, preferably in a spreadsheet, reads it and applies the mathematical algorithms inherent to the MABAC method to generate a ranking with the optimal solution according to the established criteria, weights and type of criteria. The data will be normalized, weighted by the weights, the border area will be determined, the distances to this border area will be calculated and finally a ranking with the optimal option will be generated.

Authors:Adam Slabadack [cre, aut], Marcos Santos [ctb]

mabacR_0.1.0.tar.gz
mabacR_0.1.0.zip(r-4.5)mabacR_0.1.0.zip(r-4.4)mabacR_0.1.0.zip(r-4.3)
mabacR_0.1.0.tgz(r-4.4-any)mabacR_0.1.0.tgz(r-4.3-any)
mabacR_0.1.0.tar.gz(r-4.5-noble)mabacR_0.1.0.tar.gz(r-4.4-noble)
mabacR_0.1.0.tgz(r-4.4-emscripten)mabacR_0.1.0.tgz(r-4.3-emscripten)
mabacR.pdf |mabacR.html
mabacR/json (API)
NEWS

# Install 'mabacR' in R:
install.packages('mabacR', repos = c('https://slabaverse.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/slabaverse/mabacr/issues

Datasets:

On CRAN:

4.00 score 5 scripts 185 downloads 2 exports 0 dependencies

Last updated 2 months agofrom:5617be459d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:check_formatmabacR

Dependencies:

MABAC-and-its-peculiarities

Rendered fromMABAC-and-its-peculiarities.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-09-29
Started: 2024-09-29