Checking consistency for Group-PAHP: a case study of tourism facilities in COVID-19 pandemic

The pandemic situation due COVID-19 highlighted a great vulnerability of tourism systems in the world, defined a scenario characterized by strong uncertainties, unfavorable prospects and widespread fragility (Michie 2020). Our work proposes the use of Multi-Criteria Decision Aiding (MCDA) for analyzing the potentiality of local territory development through the improvement of the tourism facilities. More precisely, we propose the use of the Parsimonious AHP (Abastante et al. 2019) for group choices to analyze a decision-making problem for the improvement of tourism facilities. As the complexity of the decision-making problem and the number of decision-makers grow, there may be problems of consistency of judgments and therefore problems of consistency of the matrices (Brunelli and Cavallo 2020a). Consistency is difficult to achieve in the real situation (Maturo et al. 2005). Our work aims to verify in a 4-step process the errors of consistency that occurs in Pairwise Comparison Matrices with the use of Parsimonious AHP for group choices. Furthermore, we propose a new innovative tool for decision makers to tackle complex problems, with multiple decision categories, a large number of alternatives and several criteria.