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. . 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  and .
|Author||Abteen Ijadi Maghsoodi <email@example.com - firstname.lastname@example.org>, Dara Riahi <email@example.com - firstname.lastname@example.org>|
|Maintainer||CLUS-MCDA Team <CLUS-MCDA@outlook.com>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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