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FuzzyMCDM  

Multi-Criteria Decision Making Methods for Fuzzy Data
View on CRAN: Click here


Download and install FuzzyMCDM package within the R console
Install from CRAN:
install.packages("FuzzyMCDM")

Install from Github:
library("remotes")
install_github("cran/FuzzyMCDM")

Install by package version:
library("remotes")
install_version("FuzzyMCDM", "1.1")



Attach the package and use:
library("FuzzyMCDM")
Maintained by
Blanca A. Ceballos Martin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-06
Latest Update:
Description:
Implementation of several MCDM methods for fuzzy data (triangular fuzzy numbers) for decision making problems. The methods that are implemented in this package are Fuzzy TOPSIS (with two normalization procedures), Fuzzy VIKOR, Fuzzy Multi-MOORA and Fuzzy WASPAS. In addition, function MetaRanking() calculates a new ranking from the sum of the rankings calculated, as well as an aggregated ranking.
How to cite:
Blanca A. Ceballos Martin (2016). FuzzyMCDM: Multi-Criteria Decision Making Methods for Fuzzy Data. R package version 1.1, https://cran.r-project.org/web/packages/FuzzyMCDM. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0 (2016-09-06 12:20), 1.1 (2016-09-22 16:50)
Other packages that cited FuzzyMCDM R package
View FuzzyMCDM citation profile
Other R packages that FuzzyMCDM depends, imports, suggests or enhances
Functions, R codes and Examples using the FuzzyMCDM R package
Some associated functions: FuzzyMMOORA . FuzzyTOPSISLinear . FuzzyTOPSISVector . FuzzyVIKOR . FuzzyWASPAS . MetaRanking . 
Some associated R codes: FuzzyMMOORA.R . FuzzyTOPSISLinear.R . FuzzyTOPSISVector.R . FuzzyVIKOR.R . FuzzyWASPAS.R . MetaRanking.R . TheoryOfDominance.R .  Full FuzzyMCDM package functions and examples
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