FuzzyMCDM: Multi-Criteria Decision Making Methods for Fuzzy Data

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.

Version:	1.1
Imports:	RankAggreg
Published:	2016-09-22
Author:	Blanca A. Ceballos Martin
Maintainer:	Blanca A. Ceballos Martin <bceballos at decsai.ugr.es>
License:	LGPL (≥ 3)
URL:	http://decsai.ugr.es/index.php?p=miembros&id=19909
NeedsCompilation:	no
CRAN checks:	FuzzyMCDM results

Documentation:

Reference manual:

FuzzyMCDM.pdf

Downloads:

Package source:	FuzzyMCDM_1.1.tar.gz
Windows binaries:	r-devel: FuzzyMCDM_1.1.zip, r-release: FuzzyMCDM_1.1.zip, r-oldrel: FuzzyMCDM_1.1.zip
macOS binaries:	r-release (arm64): FuzzyMCDM_1.1.tgz, r-oldrel (arm64): FuzzyMCDM_1.1.tgz, r-release (x86_64): FuzzyMCDM_1.1.tgz, r-oldrel (x86_64): FuzzyMCDM_1.1.tgz
Old sources:	FuzzyMCDM archive

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