Aahp方法為層級架構的準則權重決定提供了一個方法論，但由於其根植於單一層級評估架構，故當我們引用AHP時，會部到評估架構選擇的，因為不同的評估觀點會造成不同的評估架構，究竟應選擇何種架構，才能做到正確的評估？這的確是個令人困擾的問題。雖然我們很難證明哪一個評估架構最為適當，但根據統計及群體決策理論，若整合及妥協數個評估結果則可得到較客觀之評估。據於此，本論文以層級一致分析法（Hierarchies Consistency Analysis;HCA）為基礎，發展多架構AHP模式，即為同一評估問題，建立多種評估架構，並分別進行AHP過程，再經HCA妥協過程，使得各架構之各層級評估準則保持權重一致性性質，而達到整合與妥多個評估架構評估結果，也因而得到更客觀之評估，此即為本論文研究之動機及目的。

　　　　　The purpose of this paper is to develop the multiple structures of AHP model. Traditionally, the AHP process is only based on one hierarchy structure, it is unavoidable that we will face the problem of structure schema selection. Although it is very difficult to verify which structure is more appropriate, according to the statistics and group decision theories, the more objective evaluation result will be obtained if we can compromise several estimates. Hence the paper will utilize the HCA (Hierarchies Consistency Analysis) theory to establish multiple structures of AHP model, i.e., we will construct several structure schema for an evaluated problem and conduct AHP process for each one. And then we use the weight consistent property and compromise process, developed by HCA theory, to integrate these AHP models to obtain more objective evaluation result.