Optimization of indoor thermal comfort values with fuzzy logic and genetic algorithm

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dc.authoridGorgulu Balci, Sonay/0000-0002-2834-2462
dc.authoridLUY, Murat/0000-0002-2378-0009
dc.contributor.authorBalci, Sonay Gorgulu
dc.contributor.authorErsoz, Suleyman
dc.contributor.authorLuy, Murat
dc.contributor.authorTurker, Ahmet Kursad
dc.contributor.authorBarisci, Necaattin
dc.date.accessioned2025-01-21T16:43:15Z
dc.date.available2025-01-21T16:43:15Z
dc.date.issued2023
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIt is known that in crowded environments such as educational institutions and workplaces, keeping indoor air quality and climate within certain limits contributes to success and production. For this purpose, a system has been developed to ensure air quality well-being in working environments. In our study, the Arduino processor managed by the fuzzy logic control system (FLC) starts to work with the trigger of the motion sensor HC-SR501. The inputs of the FLC system are defined as LM-35 sensor for temperature, DHT-11 for humidity, MQ-135 for air quality, MQ-9 sensor for CO and explosive gas. The designed system evaluates the instantaneous data obtained from the fuzzy logic system rule base and decides which of the output air filter, heater and alarm systems will operate at what speed. In order to increase system efficiency, fuzzy logic input membership values are optimized by genetic algorithm.
dc.identifier.doi10.3233/JIFS-223955
dc.identifier.endpage2317
dc.identifier.issn1064-1246
dc.identifier.issn1875-8967
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85167599927
dc.identifier.scopusqualityQ1
dc.identifier.startpage2305
dc.identifier.urihttps://doi.org/10.3233/JIFS-223955
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25220
dc.identifier.volume45
dc.identifier.wosWOS:001045474700030
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIos Press
dc.relation.ispartofJournal of Intelligent & Fuzzy Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectArduino; fuzzy logic; air quality; genetic optimization
dc.titleOptimization of indoor thermal comfort values with fuzzy logic and genetic algorithm
dc.typeArticle

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