Evaluation of an Apartment Selection Model by Integrating Fuzzy AHP and Fuzzy TOPSIS

Abstract

The objective of this study is to evaluate the dimensions in an apartment selection model by integrating fuzzy AHP and fuzzy TOPSIS methods. From the steps of fuzzy AHP and fuzzy TOPSIS, the study explores that the most important dimensions in the apartment selection model are the design and quality of the apartment. Moreover, the landscape environment, security, and people's intellect, and selling price are three dimensions ranked as the second group of important factors. The third ranking group of important dimensions are apartment location, utility service, and transportation convenience. Finally, the less important dimension is investor brand. In addition, this study result shows that Vin group investors have the highest satisfaction degree value and the lowest gap degree, with the second being the FLC group and the third being the Nam Cuong group. Discussions, conclusions, limitations of the study, and suggestions for future studies are also included in this study.