MCDM tools

fifteen MCDM ranking methods and 4 methods of normalization
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Mise à jour 14 mars 2020

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MCDM tools contains a set of MatLab functions implementing for rank methods for task Multi-Criteria Decision Making (MCDM) methods:
SAW, COPRAS, VIKOR, MABAC, TOPSIS, DIDEAL, ORESTE1,2, PROMETHEE I-II, CODAS, GRA, GRA(T) +Normalization of decision matrix DM methods (1)- Max; (2)-Sum; (3)- Max-Min; (4)- Vector; (5) -Dea
+ Gui for MCDM tools.pdf

Citation pour cette source

Irik Mukhametzyanov (2024). MCDM tools (https://www.mathworks.com/matlabcentral/fileexchange/65742-mcdm-tools), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2009b
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
2.0

The structure of programs is improved.
Updated the structure of the results file.
More information in «Gui for MCDM tools»

1.0.0.0

Added Normalization analysis procedure; updated «Gui for MCDM tools» for normalization analysis
Updated and corrected «Gui for MCDM tools» and added comments in m-files
The structure of programs is improved.
Updated the structure of the results file.
More information in «Gui for MCDM tools»
+GRA, GRA(T) Methods
+ Normalization of decision matrix DM methods: (1)- Max; (2)-Sum; (3)- Max-Min; (4)- Vector;
added the 10th method of CODAS
CODAS method added
added the 10th method of CODAS