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Evaluating Indoor Air Quality in Offices and Classrooms Using Fuzzy Logic

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Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making (INFUS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1029))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Kütahya Dumlupınar University, 43100, Kütahya, Turkey

    Ihsan Erozan, Emre Özel & Damlanur Talaz

Authors
  1. Ihsan Erozan
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  2. Emre Özel
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  3. Damlanur Talaz
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Corresponding author

Correspondence to Ihsan Erozan .

Editor information

Editors and Affiliations

  1. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  3. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  4. Management Faculty, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

  5. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

  6. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

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Erozan, I., Özel, E., Talaz, D. (2020). Evaluating Indoor Air Quality in Offices and Classrooms Using Fuzzy Logic. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_135

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