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MCDM (version 1.2)

Multi-Criteria Decision Making Methods for Crisp Data

Description

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.

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Version

Install

install.packages('MCDM')

Monthly Downloads

28

Version

1.2

License

LGPL (>= 3)

Maintainer

Blanca Ceballos Martin

Last Published

September 22nd, 2016

Functions in MCDM (1.2)

WASPAS

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

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

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

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

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

Implementation of RIM Method for Multi-Criteria Decision Making Problems.
TOPSISLinear

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