diviz

Create algorithmic MCDA workflows or methods by adding and executing programs, as well as customizing properties, using this advanced tool.

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diviz Description

diviz is an advanced application that researchers can use to create, design and export algorithmic MCDA (MultiCriteria Decision Analysis) workflows or methods.

It features generic programs and various types of calculation components, such as aggregation operators, analysis and exploitation tools, along with robust and stochastic ordinal regression. Plus, you can launch files.

Installation and interface

The only notable aspect about setup is that you must have Java. It’s wrapped in a user-friendly and professional-looking interface, where you can get started by creating workflows. Multiple tabs are supported, which means that you can have more workflows opened at a time to easily toggle them.

Add programs and edit properties

Programs can be seamlessly added to the workflow via drag-and-drop support, re-arranged in any order, as well as grouped together to manage multiple items at once.

Customizable program properties focus on the verbose mode, timeout, local or global transformation, transformation type (e.g. divide by max), separation threshold, number of segments, alternative name or ID, node shapes, and chart title, among others. The algorithm can be executed once all modifications have been made.

Manage workflows and configure settings

It’s possible to add annotations to workflows, edit their properties, disable anti-aliasing, adjust the grid size or hide it, pick a straight or orthogonal arrow style, save workflows as PNG images, as well as export them to the application’s proprietary format (.diviz) while including or excluding the input files.

As far as general preferences are concerned, you can ask the tool to verify the validity of links, automatically open the output files, and switch to another UI languages. Keyboard shortcuts are supported.

Conclusion

To sum it up, diviz supports numerous programs for designing algorithmic MCDA workflows or methods, backed by handy customization settings. RAM usage was significant in our tests, while CPU consumption remained low.

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