Abstract

Location selection is a critical problem for businesses that can determine the success of an organization. Selecting the optimal location from a pool of alternatives belongs to a multiple criteria decision making (MCDM) problem. This study employed a hybrid MCDM technique to select locations for women’s fitness centers in Taiwan. In the beginning, the fuzzy Delphi method was utilized to obtain selection criteria from interviewed senior executives. In the second stage, the decision making trial and evaluation laboratory (DEMATEL) was employed to extract interdependencies between the selection criteria within each perspective. On the basis of interdependencies between the selection criteria, the analytic network process (ANP) was used to get respective weights of each criterion. Finally, the technique for order preference by similarity to ideal solution (TOPSIS) was ranking the alternatives. To demonstrate application of the proposed model and illustrate a location selection problem, a case was conducted. The capabilities and effectiveness of the proposed model are revealed.

Highlights

  • Location selection is a vital issue in service industries

  • Abdel-Basset et al [14] pointed that analytic network process (ANP) needs many pairwise comparison matrices on the basis of the interdependence of the selection criteria

  • Combining the fuzzy Delphi method, decision making trial and evaluation laboratory (DEMATEL), ANP, and TOPSIS, this study sought to achieve better location selection decisions in a shorter time; this distinguishes this study from others in the literature

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Summary

Introduction

Location selection is a vital issue in service industries. The quality of location decisions could be improved by a comprehensive location selection model, thereby attracting consumers and positively influencing market share and profitability [1]. To overcome the drawbacks of past studies, this research developed a new hybrid MCDM model including the fuzzy Delphi method, DEMATEL, ANP, and TOPSIS in order to support location selection decisions for women’s fitness centers in Taiwan. Abdel-Basset et al [14] pointed that ANP needs many pairwise comparison matrices on the basis of the interdependence of the selection criteria. To overcome this drawback, TOPSIS was for ranking alternatives. Combining the fuzzy Delphi method, DEMATEL, ANP, and TOPSIS, this study sought to achieve better location selection decisions in a shorter time; this distinguishes this study from others in the literature.

MCDM for Location Selection
Fuzzy Delphi Method
DEMATEL
TOPSIS
Empirical Application
Conclusion
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