DESCRIPTION

Package: CLUSMCDA
Type: Package
Title: Cluster Analysis for Improving Multiple Criteria Decision Making
        Analysis [CLUS-MCDA]
Version: 0.2
Author: Abteen Ijadi Maghsoodi <aimaghsoodi@srbiau.ac.ir - aimaghsoodi@outlook.com>, Dara Riahi <darariahi@ut.ac.ir - riahi.dara@gmail.com>
Maintainer: CLUS-MCDA Team <CLUS-MCDA@outlook.com>
Maintainer_Description: If you have any questions about the CLUS-MCDA
        runnable package/software please do not hesitate to contact our
        support email at CLUS-MCDA@outlook.com
Package_Developement: Abteen Ijadi Maghsoodi [Algorithm], Dara Riahi
        [Code]
Description: 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].
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Website: https://aimaghsoodi.github.io/CLUSMCDA-R-Package
NeedsCompilation: no
Packaged: 2019-02-07 21:11:47 UTC; Daririh