In this chapter, we illustrate how the MCDA process can be supported, by the use of a decision aiding software called diviz. The diviz workbench allows, to build, execute and share complex workflows of MCDA algorithms, and as such, is a convenient tool to help the analyst in the decision aiding process. We start by, a presentation of diviz, before switching to the detailed description of a didactic, MCDA process, based on a classical example from the MCDA literature. We show, how each major step of this process can be backed up by diviz, and how the software, can help to build the final recommendation.
CITATION STYLE
Bigaret, S., & Meyer, P. (2015). Supporting the MCDA process with the Diviz Workbench. In Evaluation and Decision Models with Multiple Criteria: Case Studies (pp. 619–638). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-46816-6_21
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