The Fuzzy AHP approach for intelligent building assessment model

Abstract

The main objective of this thesis is to probe into how Taiwanese building investment and development companies rate the analytical framework and weights of artificial intelligence buildings. Document Analysis, the Delphi method, and the Fuzzy Analytic Hierarchy Process (FAHP) are applied to conduct a FAHP questionnaire survey among 20 building investment and development companies in Tainan. Based on the calculation of composite weights, the findings are: (1) The most crucial evaluation indicator for security and hazard prevention is the “access control system”. (2) The most crucial evaluation indicator for energy-saving management is “energy-saving technology”. (3) The most crucial evaluation indicator for health and comfort is the “interior comfort system”. (4) The most crucial evaluation indicator for intelligent innovation is the “intelligent innovation concept”.