Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques

Juan Pablo Huricocha Piedra; Marcos Orellana; Priscila Cedillo; Jorge Luis Zambrano-Martinez; Juan Fernando Lima

doi:10.1007/978-3-031-45438-7_8

Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques

Juan Pablo Huricocha Piedra
, Marcos Orellana
, Priscila Cedillo
, Jorge Luis Zambrano-Martinez
, Juan Fernando Lima

Universidad del Azuay

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Information and Communication Technologies - 11th Ecuadorian Conference, TICEC 2023, Proceedings
Editors	Jorge Maldonado-Mahauad, Jorge Herrera-Tapia, Jorge Luis Zambrano-Martínez, Santiago Berrezueta, Santiago Berrezueta
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	113-127
Number of pages	15
ISBN (Print)	9783031454370
DOIs	https://doi.org/10.1007/978-3-031-45438-7_8
State	Published - 2023
Event	11th Ecuadorian Congress of Information and Communication Technologies, TICEC 2023 - Cuenca, Ecuador Duration: 18 Oct 2023 → 20 Oct 2023

Publication series

Name	Communications in Computer and Information Science
Volume	1885 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	11th Ecuadorian Congress of Information and Communication Technologies, TICEC 2023
Country/Territory	Ecuador
City	Cuenca
Period	18/10/23 → 20/10/23

Keywords

Air quality
Data mining
Fuzzy logic
Ultraviolet Index

Access to Document

10.1007/978-3-031-45438-7_8

Cite this

Huricocha Piedra, J. P., Orellana, M., Cedillo, P., Zambrano-Martinez, J. L., & Lima, J. F. (2023). Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques. In J. Maldonado-Mahauad, J. Herrera-Tapia, J. L. Zambrano-Martínez, S. Berrezueta, & S. Berrezueta (Eds.), Information and Communication Technologies - 11th Ecuadorian Conference, TICEC 2023, Proceedings (pp. 113-127). (Communications in Computer and Information Science; Vol. 1885 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-45438-7_8

Huricocha Piedra, Juan Pablo ; Orellana, Marcos ; Cedillo, Priscila et al. / Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques. Information and Communication Technologies - 11th Ecuadorian Conference, TICEC 2023, Proceedings. editor / Jorge Maldonado-Mahauad ; Jorge Herrera-Tapia ; Jorge Luis Zambrano-Martínez ; Santiago Berrezueta ; Santiago Berrezueta. Springer Science and Business Media Deutschland GmbH, 2023. pp. 113-127 (Communications in Computer and Information Science).

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abstract = "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.",

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Huricocha Piedra, JP, Orellana, M, Cedillo, P, Zambrano-Martinez, JL & Lima, JF 2023, Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques. in J Maldonado-Mahauad, J Herrera-Tapia, JL Zambrano-Martínez, S Berrezueta & S Berrezueta (eds), Information and Communication Technologies - 11th Ecuadorian Conference, TICEC 2023, Proceedings. Communications in Computer and Information Science, vol. 1885 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 113-127, 11th Ecuadorian Congress of Information and Communication Technologies, TICEC 2023, Cuenca, Ecuador, 18/10/23. https://doi.org/10.1007/978-3-031-45438-7_8

Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques. / Huricocha Piedra, Juan Pablo; Orellana, Marcos; Cedillo, Priscila et al.
Information and Communication Technologies - 11th Ecuadorian Conference, TICEC 2023, Proceedings. ed. / Jorge Maldonado-Mahauad; Jorge Herrera-Tapia; Jorge Luis Zambrano-Martínez; Santiago Berrezueta; Santiago Berrezueta. Springer Science and Business Media Deutschland GmbH, 2023. p. 113-127 (Communications in Computer and Information Science; Vol. 1885 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Orellana, Marcos

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AU - Lima, Juan Fernando

PY - 2023

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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.

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KW - Data mining

KW - Fuzzy logic

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Y2 - 18 October 2023 through 20 October 2023

ER -

Huricocha Piedra JP, Orellana M, Cedillo P, Zambrano-Martinez JL, Lima JF. Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques. In Maldonado-Mahauad J, Herrera-Tapia J, Zambrano-Martínez JL, Berrezueta S, Berrezueta S, editors, Information and Communication Technologies - 11th Ecuadorian Conference, TICEC 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 113-127. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-45438-7_8