Abstract
Considering the complexity of the building design process, a systematic approach using the presently possible information processing possibilities is very desirable. By means of this, effective and efficient decisions can be acquired yielding substantial savings in design efforts. Soft computing is one of the emerging technologies with a high potential, in this context. In the present approach, soft computing is introduced into building design in the form of knowledge base formation for inductive decision-makings in place of traditional data acquisition and processing methods. By means of soft computing based approach a compact and affordable case-based decision support system with enhanced reliability of decisions about optimal solutions is obtained. The paper describes the method together with application to a case study based on actual building data.
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© 2000 Springer Science+Business Media Dordrecht
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Ciftcioglu, Ö., Durmisevic, S., Durmisevic, E., Sariyildiz, S. (2000). Building Design Support by Soft Computing. In: Gero, J.S. (eds) Artificial Intelligence in Design ’00. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4154-3_18
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DOI: https://doi.org/10.1007/978-94-011-4154-3_18
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5811-7
Online ISBN: 978-94-011-4154-3
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