Aimaghsoodi/CLUSMCDA-R-Package: Cluster Analysis for Improving Multiple Criteria Decision Making Analysis [CLUS-MCDA]

This package is a part of the CLUS-MCDA project developed by Abteen Ijadi Maghsoodi. This package is a runnable package with no need to define any dependencies and it will ask the user the required information/input-data as you load the library and start the algorithm, this package has been coded by Dara Riahi and developed by Abteen Ijadi Maghsoodi. CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) algorithm is an iterative methodology based on the K-means clustering technique combined with the Multi-Objective Optimization on the basis of Ratio Analysis plus the full MULTIplicative form (MULTIMOORA) developed by Ijadi Maghsoodi et al. [1]. In this update the CLUS-MCDA approach has been utilized with Parallel Decision Making (PDM), Multi-Scenario Structure and the use of attributes weights, in case a user needed any of these calculating options. The related references of this paper can be found in [1] and [2].

Getting started

Package details

AuthorAbteen Ijadi Maghsoodi < ->, Dara Riahi < ->
MaintainerCLUS-MCDA Team <>
LicenseMIT + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Aimaghsoodi/CLUSMCDA-R-Package documentation built on May 17, 2019, 1:12 a.m.