D-Sight's solutions are used by companies and organizations in optimizing project portfolios, in selecting suppliers and generally in any case where group decisions have to be made by comparing different alternatives. The DNA of these applications is our unique, university-developed multi-criteria decision analysis (MCDA) methodology. This method has been used and validated by over 50 universitiesall over the world, which testifies to the scientific reliability of the methodology.
We combine this powerful mathematical algorithm with a state-of-the-art user interface. We pride ourselves in the user friendliness of the system based on a sophisticated method.
D-Sight is an MCDA software that allows you to enrich your raw data and score alternatives before performing any decision analysis. This is done using preference modeling. D-Sight offers two possible methods to do this: PROMETHEE and Utility Functions . Continue reading below for more information on these methods.
D-Sight’s software solutions are multi-criteria decision analysis (MCDA) tools. MCDA is a sub-discipline of operations research that allows to find the best alternative taking into account multiple conflicting criteria. These problems typically do not have one unique solution, so rather than pointing out a "right" solution, our system helps decision makers find the alternative that suits their goal best and increase their understanding of the problem. Since there is no unique solution, the preferences of the decision-maker have to be taken into account. In D-Sight, you will be able to use either the PROMETHEE or the Utility-base (Multi-Attributes Utility Theory) method to define preferences. Our experts can help you to determine the best way to model your exercise in D-Sight’s software.
The PROMETHEE method was developed at the Service de Mathématique de Gestion of the Université Libre de Belgique. It is a pairwise comparisons method, also known as an outranking method. This means that scores of the alternatives are calculated per criterion based on the difference between alternatives.
Choose this underlying methodology if you want the scoring of the alternatives to depend on the performance of other alternatives.
A Utility Function is a function that relates every value of a criterion to a corresponding score. This means that scores are set independently of other alternatives.
Utility Functions are entirely defined by the user, your function could thus have any shape that corresponds to your preferences (linear, stairs, hyperbolic, etc.)
Our system engineers and UI specialists have designed the easiest yet efficient system to collect and analyze data to support the decision-making process. Take your 14 days trial now