Fuzzy architectural spatial analysis
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Fuzzy architectural spatial analysis (FASA) (also fuzzy inference system (FIS) based architectural space analysis or fuzzy spatial analysis) is a spatial analysis method of analyzing the spatial formation and architectural space intensity within any architectural organization.[1]
Fuzzy architectural spatial analysis is used in architecture, interior design, urban planning and similar spatial design fields.
Overview
Fuzzy architectural spatial analysis was developed from the architectural theory of space syntax[2][3] and visibility graph analysis[4], by Burcin Cem Arabacioglu (2010), and is applied with the help of a fuzzy system with a Mamdami inference system based on fuzzy logic within any architectural space. Fuzzy architectural spatial analysis model analyses the space by considering the perceivable architectural element by their boundary and stress characteristics and intensity properties. The method is capable of taking all sensorial factors into account during analyses in conformably with the perception process of architectural space which is a multi-sensored act.
References
- ^ Arabacioglu, B. C. (2010). "Using fuzzy inference system for architectural space analysis". Applied Soft Computing 10 (3): 926–937.
- ^ Hillier, B. and Hanson, J. (1984), The Social Logic of Space, Cambridge University Press: Cambridge.
- ^ Hillier, B. (1999), Space is the Machine: A Configurational Theory of Architecture, Cambridge University Press: Cambridge.
- ^ Turner, A., Doxa, M., O'Sullivan, D., and Penn, A. (2001). "From isovists to visibility graphs: a methodology for the analysis of architectural space". Environment and Planning B 28 (1): 103–121. doi:10.1068/b2684
Further reading
- Arabacioglu, B. C. (2010). "Using fuzzy inference system for architectural space analysis". Applied Soft Computing. 10 (3): 926–937.
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