The application requires a Java Runtime Engine (JRE) version 17 or higher.
The to-go packages include a bundled Azul JRE for convenience. However a JRE installed on your system is preferrable.
Any provider for a JRE implementation should be fine. To give two examples:
To run the application, unpack the package and in the extracted directory do the following
if you have a JRE installed either double click on the file "MCDA-GUI.jar"
or use the command line and type java -jar MCDA-GUI.jar
if you use to-go with JRE included run "start.bat" on Windows, "start.sh" on Linux, or "start.command" on Mac.
For Linux and Mac you may have to change executable permissions or unpack using "tar xpfz".
In case you want to give us feedback you can use this Google form for your convenience, but by email is fine as well.
Pre-release 10.0.1 (December 2022)
Contains test features which may not be stable yet.
Temporary logo and background changes for demonstration
Improved Excel import for marking profit oriented criteria
Cleanup, code improvements, and minor fixes
Since version 9.5
Code cleanup, improvements for plugin management
Since version 9.4
Many small improvements and fixes
Added TOPSIS aggregation
Added SMART weightinh
Improved SWING weighting
Improved the undo/redo system
Improved and more export/import
Prepared, but not activated PROMETHEE aggregation
Prepared, but limited hierarchical MCDA (groups linked to other MCDA with same alternatives and different criteria)
Since version 7.6
Added SWING weighting
Improved weight set functionality
Improved ensemble visualisations
Improved plugin system
Since version 7.5
Several small but important bug fixes (weigth sets, qualitative sets, ...)
Experimental export to and import from MS Excel
Experimental export of report to MS Word
Improved screenshot tools
Since version 7.4
Qualitative value sets for criteria (e.g. sets with values like "low", "medium", "high")
Weight sets for quickly switching between different preferences (e.g. of different persons, different times, ...)
Another bubble chart for visualisation of ensemble evaluation results (outranking)
One on one comparison of alternatives
Since version 7.2
Improved normalizations (e.g. issues with all zero or negative criteria for Sum normalization)
Fixed enumeration probabilities for values
Since version 7.1
Version contains an error that prevents storing of configuration and may fail to to load save files of older versions
Improvements in evaluating ensembles
Improvements in editing probabilities
Added color management (color blind, black-white, ...)
In general we are open to share the sources to interested people.
As version control is currently managed on the KIT Gitlab server, access requires a KIT account (which is doable for partners or cooperations).
However zip cloning as file is much easier and possible on request.
At some point we may move to a public server.
Technical detail: the lokal maven repository architecture currently prevents a more simple public solution.