MCDM: Multi-Criteria Decision Making Methods for Crisp Data

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Implementation of several MCDM methos for crisp data for decision making problems. The methods that are implemented in this package are RIM, TOPSIS (with two normalization procedures), VIKOR, Multi-MOORA and WASPAS. In addition, MetaRanking function calculates a new ranking from the sum of the rankings calculated, as well as an aggregated ranking.

Author
Blanca A. Ceballos Martin <bceballos@decsai.ugr.es>
Date of publication
2016-09-22 16:50:45
Maintainer
Blanca A. Ceballos Martin <bceballos@decsai.ugr.es>
License
LGPL (>= 3)
Version
1.2
URLs

View on CRAN

Man pages

MetaRanking
Implementation of MetaRanking function for Multi-Criteria...
MMOORA
Implementation of MULTIMOORA Method for Multi-Criteria...
RIM
Implementation of RIM Method for Multi-Criteria Decision...
TOPSISLinear
Implementation of TOPSIS Method for Multi-Criteria Decision...
TOPSISVector
Implementation of TOPSIS Method for Multi-Criteria Decision...
VIKOR
Implementation of VIKOR Method for Multi-Criteria Decision...
WASPAS
Implementation of WASPAS Method for Multi-Criteria Decision...

Files in this package

MCDM
MCDM/NAMESPACE
MCDM/R
MCDM/R/MMOORA.R
MCDM/R/TheoryOfDominance.R
MCDM/R/TOPSISLinear.R
MCDM/R/WASPAS.R
MCDM/R/TOPSISVector.R
MCDM/R/MetaRanking.R
MCDM/R/RIM.R
MCDM/R/VIKOR.R
MCDM/MD5
MCDM/DESCRIPTION
MCDM/man
MCDM/man/TOPSISVector.Rd
MCDM/man/MMOORA.Rd
MCDM/man/VIKOR.Rd
MCDM/man/WASPAS.Rd
MCDM/man/MetaRanking.Rd
MCDM/man/TOPSISLinear.Rd
MCDM/man/RIM.Rd