It is often a challenge for decision-makers to make logical and coherent decisions. What can be helpful is when expert evaluations are complemented by formal methods so as to, for example, classify risks. One of the UN’s global goals is ”No Hunger”. To reach that goal, decision-makers must have a reliable decision support system that will help in their analysis of the risk of food shortages in different parts of the world.
”There was already a method for this, but it was difficult to implement. In my thesis, I have developed the existing classification model and worked on its deficiencies so that it can now be used in a functional and effective manner,” states Rueben Laryea.
The new model will help decision-makers within the UN to analyse data in an efficient manner, make more exact assessments, make substantiated decisions and formulate policies that will help people to access food.
On November 28 at Dalarna University, Rueben Laryea successfully defended his thesis entitled “A Data-Driven Decision Support System for Coherency of Experts’ Judgment in Complex Classification Problems - The Case of Food Security as a UN Sustainable Development Goal”.