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Analyzing Usage of Indoor Space from Ecological Aspects Based on Constraint-Oriented Fuzzy Sets
Author(s) -
Tomoko Ohya,
Masanori Shimamoto,
Takayuki Shiose,
Hiroshi Kawakami,
Osamu Katai
Publication year - 2007
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2007.p0867
Subject(s) - computer science , space (punctuation) , constraint (computer aided design) , set (abstract data type) , fuzzy logic , fuzzy set , artificial intelligence , human–computer interaction , mathematics , geometry , operating system , programming language
This paper proposes a framework for analyzing the relationships between human recognition and the ecological aspects of physical space, aiming to support conflict management of architectural designs. Our framework employs novel fuzzy sets: the Constraint-Interval Fuzzy Set (CoIFS) [1], which visualizes roles of architectural spaces from the viewpoint of space usages and the physical abilities of target users. For designing indoor spatial layouts, the users are the inhabitants. From an ecological viewpoint, environments affect inhabitant behaviors on every location and scene. Among several ecological factors, we adopt pathway likeness and settling attraction as examples of metrics for evaluating space. Inhabitants’ personalities are implemented by configurations of private/official space and settling attractions for simulating their behavior in a room. Based on simulation results, a spatial layout is evaluated by metrics that enable us to translate the roles of space into CoIFS. The potential of our framework is also discussed with the architectural notions of P-Space and N-Space .

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