Abstract
Abstract This work presents a novel housing performance evaluation approach for evaluating real estate purchases in Taipei. The proposed approach focuses on encouraging purchases to achieve better housing performance and supporting the decision-making ability of homebuyers in housing comparison and selection. The proposed approach compares the features of different houses by integrating the fuzzy geographic information systems (GIS) method with an analytic hierarchy process (AHP). The comprehensive evaluation of uncertainty variable data comprises 20 objective housing performance indicators, which were selected from a review of existing evaluation models, and GIS that handle both spatial and non-spatial data, as well as a fuzzy set approach. The weights of each category and indicator are calculated using AHP analysis. Finally, the application model is established via a field case study. The proposed approach is applicable for objective and practical evaluations, as well as for the comparison of residential housing alternatives.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
