Evaluating indoor air quality in offices and classrooms using fuzzy logic
| Autor: | Ihsan Erozan, Damlanur Talaz, Emre Özel |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making ISBN: 9783030237554 |
| Popis: | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- -- 228529 During the last three decades, there has been increasing concern over the effects of indoor air quality on productivity and health. The main reason for this concern about the control of air quality in indoor environments is that many people spend more time indoors than outdoors. This paper aims to design a fuzzy system that has the ability to evaluate the indoor air quality in classrooms and offices. For this fuzzy system, the data collected through a multifunction climate-measuring instrument were analysed, and a fuzzy logic model was developed based on the data analysis. This fuzzy logic model has three inputs, namely, efficient working time, temperature, and humidity, and two outputs, namely, two decisions for ergonomic control and air conditioning options. A simulation study was conducted to confirm the developed fuzzy logic model. The results show that the fuzzy model produces acceptable and realistic outputs. © 2020, Springer Nature Switzerland AG. |
| Databáze: | OpenAIRE |
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