Ranking based on interval-valued fuzzy predicates for social well-being analysis

ACTIS DI PASQUALE, EUGENIO; MESCHINO, GUSTAVO J.; COMAS, DIEGO S.; BOUCHET, AGUSTINA; PASTORE, JUAN IGNACIO

Ciudad de Juárez

Congreso; International Virtual Workshop of Business Analytics Eureka 2019; 2019

Universidad Autónoma de Ciudad Juárez

Social well-being is one of the main goals of public policy. In this work, it is proposed a new methodology based on fuzzy predicates and interval-valued fuzzy logic for its computation and analysis, applied to urban areas of Argentina. The social well-being level of a territory is described through a fuzzy predicate, considering properties of different social indicators and exploiting the advantages of the interval-valued fuzzy logic to deal with vague concepts. Fuzzy predicates allow to include knowledge about the meaning of social well-being and how it is traditionally measured, as well as linguistic descriptions involving social indica-tors. As a result, the social well-being level of each urban area is described by an interval. A method for interval comparing is also defined, in order to rank the ur-ban areas according to their social well-being levels. Results are consistent with those obtained using the known weighted average method. The approach pro-posed solves the problem of subjectivity in the evaluation of instances for com-parative purposes, since once the fuzzy predicates are determined, the mathemati-cal computation is the same for all the urban areas. This approach may have other interesting applications in the context of the Social Sciences, where new case studies are expected to be studied in future work.