id |
ecaade2014_220 |
authors |
Tijjani Zubairu, Sevil Sariyildiz and Ozer Ciftcioglu |
year |
2014 |
title |
Assessment of Building Performance Using Computational Intelligence: Focus on the Disabled and Elderly |
doi |
https://doi.org/10.52842/conf.ecaade.2014.2.217
|
source |
Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 2, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 217-225 |
summary |
The care for the elderly and people with disability increasingly demand more ingenuity to undertake, especially as it relates to the built environment. The impact of the physical environment on health has been widely documented. The knowledge of the special needs/preferences of this vulnerable group of users (people suffering from Alzheimer, autism, dementia and other similar disabilities), for the purpose building of performance evaluation and subsequent improvements is essential. The challenge is that their conditions, as exemplified by the loss or impairment of their capacity to provide accurate/realistic information of their building attributes' perceptions and preferences, make such knowledge inaccurate to serve as basis for building improvements and designs. This paper seeks to provide a scientific means for obtaining more accurate knowledge, which when obtained normally can be misleading and non representational of reality. The method adopted for this study is fuzzy-neural-network computation, a branch of computational intelligence, to develop an all-encompassing knowledge based building performance assessment model. |
wos |
WOS:000361385100023 |
keywords |
Building-performance-assessment; elderly; fuzzy-neural-network |
series |
eCAADe |
email |
|
full text |
file.pdf (399,954 bytes) |
references |
Content-type: text/plain
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Studies on visual perception for perceptual robotics
, Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics: ROBOTICS AND AUTOMATION2006. 352-359., pp. 352-359
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A neural fuzzy system for soft computing
, 2007 Annual Meeting of the North American Fuzzy Information Processing Society, ed. M. Reformat and M.R. Berthold2007, pp. 489-495
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last changed |
2022/06/07 07:58 |
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