CRAN
MCDM 1.2
Multi-Criteria Decision Making Methods for Crisp Data
Released Sep 22, 2016 by Blanca A. Ceballos Martin
Dependencies
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.
Installation
Maven
This package can be included as a dependency from a Java or Scala project by including
the following your project's pom.xml
file.
Read more
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>MCDM</artifactId> <version>1.2-b15</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:MCDM')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.