Analytic Network Process (ANP) is one of the most powerful methodologies for combining and evaluating judgments of the decision-makers to effectively rank alternatives, choose a compromise solution, and predict outcomes. ANP, developed by Thomas L. Saaty, is a widely used technique for structuring, modeling, and analyzing complex decisions based on mathematics and psychology.

Decision-makers are poor at assimilating large quantities of information on their problems. They cope with cognitive overload by employing heuristics that simplify the problem. This can lead to the selection of suboptimal alternatives. The participants of the workshop will carry out an experiment on cognitive psychology and learn Miller's "the magical number seven, plus or minus two: some limits on our capacity for processing information".

In complex decisions, there may be dependence and feedback. We will discuss how network modelling improves the priorities derived from judgments and makes predictions much more accurate.

We will go through the arrangement of paired comparison judgements in a matrix, the calculation of eigenvector and inconsistency of the pairwise comparison matrix, and then, the formation of the supermatrix, weighted supermatrix, and limiting supermatrix. Last but not least, we will examine Saaty Compatibility Index.