Fuzzy-GIS Approach for Applying the AHP Multi-Criteria Decision-Making Model to Evaluate Real Estate Purchases

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.

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