Application of the multicriteria decision-support methods Gaussian AHP and MABAC to assist digital nomads in which city to live

This study addresses the dilemma of digital nomads to choose which city to live in, seeking to help, at this time of increase in this lifestyle/work, these professionals in this decision-making. A hybrid multicriteria approach was used with the "Analytic Hierarchy Process - Gaussian" (AHP-Gaussian) for the determination of weights and the "Multi-Attributive Border Approximation Area Comparison" (MABAC) for ordering. The data were obtained through the digital repository of models, data and Kaggle codes. The AHP-Gaussian method mitigates subjectivity in weight assignment and MABAC ensures stable scores, even with variable alternatives. By combining AHP-Gaussian and MABAC, a reliable and objective ordering system is established, allowing digital nomads a more assertive choice according to established criteria.