The Fuzzy Logic Method in Assessing Window Design for the Visual Comfort of Classrooms at the Early Design Stage
Publication: Journal of Architectural Engineering
Volume 28, Issue 2
Abstract
Architectural design is the process of solving design problems until the final product emerges. Solving these problems altogether complicates this process. It is one of the most important stages of this complex process because decisions made at the early design stage affect the progressive process. The decisions made at this stage are especially important in educational buildings because they directly affect the learning performance and health of users. In this study, a fuzzy logic model enabling correct decisions by digitizing exact and partial information has been created to evaluate and classify the design efficiency of windows important for ensuring sufficient visual comfort in classrooms. Because it is close to human logic and perception in modeling, Mamdani-type fuzzy model was used. A primary school with 8 classrooms was designed by 30 architects for the operation of the created model. Window design efficiencies were obtained with data obtained from 240 classrooms in the primary schools designed. The developed model will provide information by using the windows of the classrooms at the early design stage. Learning this information prior to designing will help make more accurate and effective decisions after implementation, especially for irreversible results.
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Acknowledgments
The authors thank all the subjects who helped them by voluntarily participating in their study.
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Published In
Journal of Architectural Engineering
Volume 28 • Issue 2 • June 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Feb 12, 2021
Accepted: Mar 1, 2022
Published online: Apr 13, 2022
Published in print: Jun 1, 2022
Discussion open until: Sep 13, 2022
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