Mimari Tasarım Karar Verme Süreçlerinde Yapay Zekâ Tabanlı Bulanık Mantık Sistemerinin Değerlendirilmesi

Year 2022, Volume: 7 Issue: 2, 878 - 899, 30.12.2022

Didem Baran Ergül Ayşe Berika Varol Malkoçoğlu Seden Acun Özgünler

https://doi.org/10.30785/mbud.1117910

Cited By: 4

Abstract

Etrafımızda gördüğümüz tüm yapılı çevre, bir tasarım ürünüdür. Bu noktadan hareketle, günümüzde, beklentilerin çeşitliliğine bağlı olarak, bilgi ve değer sistemlerinde yaşanan değişimlerin neticesinde yapılı çevrenin oluşturulması, giderek karmaşıklaşan bir tasarım sorunu haline gelmiştir. Mimarların geleneksel tasarım yaklaşımları kimi zaman bu tasarım sorunlarına çözüm bulmada yetersiz kalmakta, yeni tasarım yaklaşımlarına ihtiyaç duyulmaktadır. Bu sebeple, çalışmada mimari tasarım sürecinde, geleneksel düşünceye ek olarak; veri, belge, bilgi ve iletişim modelleri kullanılarak problemleri tanımlayacak ve karar verme sürecinin tamamlanmasına yardımcı olacak bulanık mantık tabanlı karar destek sistemleri incelenmiştir. Buna ek olarak bulanık mantık tabanlı karar destek sistemlerinin geleneksel yöntemler ile karşılaştırılması, avantajlarının ve dezavantajlarının tartışılması gerçekleştirilmiştir.

Keywords

Mimari tasarım, bulanık mantık, karar destek makinesi

Thanks

Makalede ulusal ve uluslararası araştırma ve yayın etiğine uyulmuştur. Çalışmada etik kurul izni gerekmemiştir.

Use of Artificial Intelligence Based Fuzzy Logic Systems in Architectural Design Decision Making Processes

Abstract

All the built environment we see around us is a product of design. From this viewpoint, the creation of the built environment has become an increasingly complex design problem due to the wide variety of user expectations, as well as changes in information and value systems. Traditional design approaches of architects are often insufficient, in that they are unable to generate solutions to these design problems, and new design approaches are needed. Fuzzy logic-based decision support systems can help identify problems and complete the decision-making process by using data, documents, information, and communication technologies and models; in this study, these support systems are compared with traditional methods, and their advantages and disadvantages are discussed.

Keywords

Architectural design, fuzzy logic, decision support machine

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