Complexity on Fuzzy set and Fuzzy Logic for Air Quality

Complexity on Fuzzy set and Fuzzy Logic for Air Quality

Authors

  • Alejandro Fuentes-Penna El Colegio de Morelos, México
  • Ocotlán Díaz-Parra Universidad Politécnica de Pachuca, México.
  • Juan de D. González-Ibarra El Colegio de Morelos, México
  • Porfirio Espejel Flores Universidad Politécnica de Pachuca, México.
  • Eric Simancas-Acevedo Universidad Politécnica de Pachuca, México.
  • Jaime Aguilar-Ortiz Universidad Politécnica de Pachuca, México.
  • Jorge A. Ruiz-Vanoye Universidad Politécnica de Pachuca, México.

Keywords:

Air quality, Complexity, fuzzy logic, fuzzy set

Abstract

The Air quality measurement is reported as micrograms per cubic meter or parts per million. In this article, we proposed a survey of the complexity on Fuzzy Logic for air quality. The traditional air quality assessment is estimated using air quality indices as mean values of selected air pollutants, where the ambient environment has given limits without considering specific local conditions and synergic relations between air pollutants and other meteorological factors. Different models analyze the structure of data to find the characteristics of air quality similarities and to interpret the classification results by means of fuzzy logic.

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Published

2023-06-07

How to Cite

Fuentes-Penna, A., Díaz-Parra, O., González-Ibarra, J. de D., Espejel Flores, P., Simancas-Acevedo, E., Aguilar-Ortiz, J., & Ruiz-Vanoye, J. A. (2023). Complexity on Fuzzy set and Fuzzy Logic for Air Quality: Complexity on Fuzzy set and Fuzzy Logic for Air Quality. International Journal of Combinatorial Optimization Problems and Informatics, 14(2), 43–48. Retrieved from https://ijcopi.org/ojs/article/view/367

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