DocumentCode
3369011
Title
Evaluation of intelligent residential communities in China
Author
Huang, Zhiye ; Li, Guijun
Author_Institution
Sch. of Manage. Sci. & Eng., Central Univ. of Finance & Econ., Beijing, China
fYear
2010
fDate
26-28 June 2010
Firstpage
1064
Lastpage
1067
Abstract
Evaluation of intelligent residential communities is complicated by the high aggregation of the multi-criteria and multi-dimensional perspectives of building intelligence. Till now, there have been no widely accepted approaches. Both the subjective evaluation method based on the analytic network process (ANP) and the objective method based on the Adaptive Resonance Theory (ART) have been proved to be helpful in prioritizing intelligent residential communities when used separately. However, the difference of evaluation results generated by applying the two methods to the same set of design alternatives is worthy of scrutiny. In the current work, the ANP-based method and the ART-based method were re-investigated and applied to the same set of design alternatives. The difference of the two methods in their application was analyzed and explained. Three aspects were identified to reflect their effectiveness and complementation.
Keywords
adaptive resonance theory; decision making; structural engineering computing; China; adaptive resonance theory; analytic network process; building intelligence; intelligent residential communities; multicriteria perspectives; multidimensional perspectives; objective evaluation method; subjective evaluation method; Computational intelligence; Economic forecasting; Finance; Financial management; Intelligent networks; Intelligent structures; Intelligent systems; Mathematical model; Resonance; Subspace constraints; evaluation; intelligent residential communities; the adaptive resonance theory (ART); the analytic network process (ANP);
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5536778
Filename
5536778
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