How Does It Work?

D-Sight offers you the possibility to enrich the data of your multi-criteria problem by taking into account how you want to evaluate the alternatives for each criterion.

Working with raw data is rarely meaningful and is, most of the time, not efficient.

The multi-criteria evaluation/prioritization/decision problem can always be written in a “decision matrix”. It is illustrated hereunder. In each line you find an alternative and the criteria are represented in the column.

What D-Sight allows you to do, before making any decision analysis, is to enrichthis first decision matrix. This can be done by making preference modeling. D-Sight offers two methods to do it:

• Pairwise comparisons
• Utility

Those methods gives you the possibility to easily get a score matrix :

Giving a weight to each criterion allows computing a global score for each alternative. The difference with the weighted sum is that you don't sum the raw data. The enriched data is summed. That means that what is used to compute a global score is what actually takes into account what is important for you. The global score is then meaningful and represents the real value of the alternative.