TY - GEN
T1 - Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques
AU - Huricocha Piedra, Juan Pablo
AU - Orellana, Marcos
AU - Cedillo, Priscila
AU - Zambrano-Martinez, Jorge Luis
AU - Lima, Juan Fernando
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The 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.
AB - The 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.
KW - Air quality
KW - Data mining
KW - Fuzzy logic
KW - Ultraviolet Index
UR - https://www.scopus.com/pages/publications/85175955282
U2 - 10.1007/978-3-031-45438-7_8
DO - 10.1007/978-3-031-45438-7_8
M3 - Contribución a la conferencia
AN - SCOPUS:85175955282
SN - 9783031454370
T3 - Communications in Computer and Information Science
SP - 113
EP - 127
BT - Information and Communication Technologies - 11th Ecuadorian Conference, TICEC 2023, Proceedings
A2 - Maldonado-Mahauad, Jorge
A2 - Herrera-Tapia, Jorge
A2 - Zambrano-Martínez, Jorge Luis
A2 - Berrezueta, Santiago
A2 - Berrezueta, Santiago
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th Ecuadorian Congress of Information and Communication Technologies, TICEC 2023
Y2 - 18 October 2023 through 20 October 2023
ER -