Cedillo Orellana, Irene Priscila2024-03-052024-03-052023978-303145437-01865-0929http://dspace.ucuenca.edu.ec/handle/123456789/44053https://www.scopus.com/record/display.uri?eid=2-s2.0-85175955282&origin=resultslist&sort=plf-f&src=s&sid=298a2d249d187e124d562bdc74b783d6&sot=b&sdt=b&s=TITLE-ABS-KEY%28Finding+an+Integrated+Ultraviolet+Radiation+Index+Using+Fuzzy+Logic+Techniques%29&sl=93&sessionSearchId=298a2d249d187e124d562bdc74b783d6&relpos=0The present study applies fuzzy logic techniques to find an integrated ultraviolet radiation index for Cuenca-Ecuador. This index integrates information on meteorological variables and ultraviolet rays, whose data were provided by the Research Department of the Institute for Sectional Regime Studies of Ecuador (IERSE), corresponding to 2018. Analysis techniques in data mining were used to process and segment this information. Subsequently, a fuzzy logic model with the Mamdani approach was generated to obtain an integrated ultraviolet radiation index. This model combines the values of the Ultraviolet radiation A and Ultraviolet radiation B components through 49 fuzzy inference rules. The results obtained were compared with the ultraviolet radiation indices of the tropospheric model. As a result, a slightly higher fuzzy index was obtained in terms of the index score concerning the tropospheric model.es-ESAir qualityUltraviolet IndexData miningFuzzy logicARTÍCULO DE CONFERENCIA10.1007/978-3-031-45438-7_8