Research Article

Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic

Volume: 8 Number: 2 December 16, 2023
EN TR

Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic

Abstract

Building occupants spend approximately 90% of their lives indoors where they want to have indoor air quality, visual, acoustic, and thermal comfort (which is more dominant). Thermal comfort is assessed by physical factors such as operative air temperature, relative humidity, and air velocity. People’s activity level and clothing level are also effective. Related regulations and standards like ISOEN7730 and EN15251 aim to provide a unified understanding of the matter. Since these studies rely on experimental methods, there are instances where certain scenarios lack experimental support, leading to gaps in the results. Those gaps can be filled with the Fuzzy Logic Method, which evaluates with “degrees of truth” instead of “true or false”. With this study, the level of knowledge on providing thermal comfort can be increased by filling the gaps in the empirical studies and the damage caused by heating-cooling energy to the environment can be reduced with further studies.

Keywords

Architectural comfort parameters, thermal comfort assessment, Fuzzy Logic, PMV

References

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APA
Uzun, R., & Pakdamar, F. (2023). Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic. Journal of Architectural Sciences and Applications, 8(2), 655-670. https://doi.org/10.30785/mbud.1320257
AMA
1.Uzun R, Pakdamar F. Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic. JASA. 2023;8(2):655-670. doi:10.30785/mbud.1320257
Chicago
Uzun, Rana, and Ferhat Pakdamar. 2023. “Enriching Empirical Thermal Comfort Assessment Methods With Fuzzy Logic”. Journal of Architectural Sciences and Applications 8 (2): 655-70. https://doi.org/10.30785/mbud.1320257.
EndNote
Uzun R, Pakdamar F (December 1, 2023) Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic. Journal of Architectural Sciences and Applications 8 2 655–670.
IEEE
[1]R. Uzun and F. Pakdamar, “Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic”, JASA, vol. 8, no. 2, pp. 655–670, Dec. 2023, doi: 10.30785/mbud.1320257.
ISNAD
Uzun, Rana - Pakdamar, Ferhat. “Enriching Empirical Thermal Comfort Assessment Methods With Fuzzy Logic”. Journal of Architectural Sciences and Applications 8/2 (December 1, 2023): 655-670. https://doi.org/10.30785/mbud.1320257.
JAMA
1.Uzun R, Pakdamar F. Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic. JASA. 2023;8:655–670.
MLA
Uzun, Rana, and Ferhat Pakdamar. “Enriching Empirical Thermal Comfort Assessment Methods With Fuzzy Logic”. Journal of Architectural Sciences and Applications, vol. 8, no. 2, Dec. 2023, pp. 655-70, doi:10.30785/mbud.1320257.
Vancouver
1.Rana Uzun, Ferhat Pakdamar. Enriching Empirical Thermal Comfort Assessment Methods with Fuzzy Logic. JASA. 2023 Dec. 1;8(2):655-70. doi:10.30785/mbud.1320257