• 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