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FuzzyMCDM (version 1.1)

Multi-Criteria Decision Making Methods for Fuzzy Data

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.

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Version

Install

install.packages('FuzzyMCDM')

Monthly Downloads

22

Version

1.1

License

LGPL (>= 3)

Maintainer

Blanca Ceballos Martin

Last Published

September 22nd, 2016

Functions in FuzzyMCDM (1.1)

MetaRanking

Implementation of MetaRanking function for Multi-Criteria Decision Making Problems.
FuzzyMMOORA

Implementation of Fuzzy MULTIMOORA Method for Multi-Criteria Decision Making Problems.
FuzzyVIKOR

Implementation of Fuzzy VIKOR Method for Multi-Criteria Decision Making Problems.
FuzzyWASPAS

Implementation of Fuzzy WASPAS Method for Multi-Criteria Decision Making Problems.
FuzzyTOPSISVector

Implementation of Fuzzy TOPSIS Method for Multi-Criteria Decision Making Problems.
FuzzyTOPSISLinear

Implementation of Fuzzy TOPSIS Method for Multi-Criteria Decision Making Problems.