Paper Title
A Hybrid Approach through AHP and Fuzzy Inference Systems for Cities Smartness Evaluation

Abstract
Within the context of Smart Cities, this work focuses on the evaluation of the “Smart Citizens” factor. For this, the relevant dimensions and criteria on which this factor depends were identified in the literature consulted. Based on the conceptual model proposed for this evaluation, the AHP method was used to weight these dimensions/criteria. Subsequently, a set of fuzzy systems was designed to qualify the degree of smartness of the Citizens factor for a given city. The analysis of the inference maps obtained with these subsystems shows that the "Smart Living" dimension is notoriously more relevant than the "Smart People" dimension and that its predominant Criteria are in this order: "Health conditions" and "Individual Safety". Keywords - Multi-Criteria Decision Making (MCDM), Analytic Hierarchic Process (AHP), Fuzzy Inference System (FIS), Smart cities.