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Assessment and Improvement of Intelligent Technology in Architectural Design Satisfactory Development Advantages Management

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Abstract

In the Internet era, the competitiveness of global building design smart technologies continues to increase, inevitably forcing smart building design to re-examine the application of smart systems, the development and evaluation of indicators, including the evaluation of biometric systems, radio frequency technology systems and digital cryptography. The system is used to improve the overall satisfaction and competitiveness of intelligent technology in architectural design. However, the successful design of intelligent architectural depends on the development of corresponding systems and the management of advantages. Thus, we via literature review to frame construction developing sustainability strategy indicators for this research that were divided into three major dimensioned which were further subdivided into twelve sub criteria; the propose to use a new sustainable development strategy indicator evaluation and intelligent technology architectural design improvement MADM-DANP model. Unlike previous multiple attributes, decision-making (MADM) methods that assume the criteria are independent, we propose a hybrid model, combining a decision-making trial and evaluation laboratory (DEMATEL) and analytical network process (ANP) method called DANP, which addresses the dependent relationships between the various criteria to better reflect the real-world situation. In the final results, we can also address a gap in the development of sustainable development plans for the environment, taking into account comfort, convenience and safety in order to raise the standards in achieving human welfare expectations.

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Chen, V.YC., Lin, J.CL., Wu, Z., Lien, HP., Yang, PF., Tzeng, GH. (2021). Assessment and Improvement of Intelligent Technology in Architectural Design Satisfactory Development Advantages Management. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2765-1_24

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