Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece

摘要

It is a fact that due to the war in Syria and to instability/poverty in wide regions of the world, immigration flows to Europe have increased to a very significant extent. From the EU countries, Greece and Italy are accepting the heaviest load due to their geographical location. This research paper, proposes a flexible and rational Soft Computing approach, aiming to model and classify areas of the Greek (sea and land) borderline, based on the density and range of illegal immigration (ILIM). The proposed model employs Intuitionistic Fuzzy Sets (IFUS) and Fuzzy Similarity indices (FUSI). The application of this methodology can provide significant aid towards the assessment of the situation in each of the involved areas, depending on the extent of the flow they face.