An ANP based TOPSIS approach for Taiwanese service apartment location selection

Abstract

The fuzzy Delphi method, analytic network process (ANP), and technique for order preference by similarity to ideal solution (TOPSIS) are integrated in this paper to help Taiwanese service apartments to effectively select the optimal locations. The fuzzy Delphi method, which can lead to better criteria selection, is used to modify previous studies to construct the hierarchy. Considering the interdependence among the selection criteria in the hierarchy, ANP is then used to obtain the weights of the criteria. To avoid calculation and additional pairwise comparisons of ANP, TOPSIS is used to rank the alternatives. According to the hierarchy based on three perspectives and 12 important criteria, optimal locations for Taiwanese service apartments can be more effectively selected. Moreover, by integrating the fuzzy Delphi method, ANP, and TOPSIS, this study can make better decisions for optimal locations. To illustrate how the fuzzy Delphi method, ANP, and TOPSIS are applied in the location selection problem, their application to a real case is also performed.

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