The Fuzzy Logic Method in Assessing Window Design for the Visual Comfort of Classrooms at the Early Design Stage


Diker F., ERKAN İ.

JOURNAL OF ARCHITECTURAL ENGINEERING, vol.28, no.2, 2022 (ESCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 28 Issue: 2
  • Publication Date: 2022
  • Doi Number: 10.1061/(asce)ae.1943-5568.0000544
  • Journal Name: JOURNAL OF ARCHITECTURAL ENGINEERING
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Art Source, Communication Abstracts, Compendex, Computer & Applied Sciences, ICONDA Bibliographic, Index Islamicus, INSPEC, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Keywords: Early design stage, Fuzzy logic, Visual comfort, Window design, DAYLIGHT, OPTIMIZATION, PERFORMANCE, ENERGY, SYSTEM
  • Süleyman Demirel University Affiliated: Yes

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. (C) 2022 American Society of Civil Engineers.