評選適當的區位對於企業的成功與失敗扮演重要的因素。此外，區位是一個 策略工具，可以明顯地改善市場佔有率。在評選區位的時候，決策者們會考量許 多的準則，然而在現實生活中，準則是會相互影響的。因此，考量評選準則間存 在相互影響的關係，網絡分析法可以處理準則間存在相互影響關係的決策問題， 很適合用來評選區位。本文運用網絡分析法於評選民宿區位的問題上，首先回顧 區位評選相關文獻與訪問民宿經營者，整理出評選的準則，模糊德菲法能夠針對 評選準則進行更有效地篩選，所以透過模糊德菲法篩選出12 個重要的準則：室 內設施多樣性、戶外設施多樣性、當地的治安、自然資源豐富性、交通便利性、 停車便利性、到觀光景點的距離、到公共設施的距離、租金成本、當地的競爭程 度、建造成本、投資報酬率，再根據過去文獻進而建構出民宿區位評選的層級架 構，透過本文所用之模糊德菲法與網絡分析法，可以得知民宿最適當的區位。

Location decisions have attracted much attention from the academic and business communities. For the homestay industry, optimal location can help increase market share and profit. In real-world cases, most problems have more than one decision criterion. As the result, multiple criteria decision making (MCDM) methods have been developed to solve complex problems. In this study, fuzzy Delphi method and analytic network process (ANP) are applied to select suitable locations for homestays. Fuzzy Delphi method, which can lead to better criteria selection, is used to modify past researches to construct the hierarchy. Considering the interdependence among the selection criteria, ANP is then used to help managers of homestays make better decisions in locations selection. To illustrate how proposed methods are applied in the location selection problem, the application to a real case is also performed.