近年來由於新建住宅需求量的降低以及整建市場的提升，且台灣社會結構的改變，使得住宅整建的需求日益增加。但由於整建工程具有相當的複雜特性，使得整建廠商與住戶的關係一直處於資訊不對稱及不透明的狀況。導致住戶選擇整建廠商時，大多經由口耳相傳或是僅以價格導向來做為廠商評選的依據，因此將無法有效的選出適合住戶需求的廠商。因此，本研究提議建立整建廠商案例的資料庫，透過案例式推理(CBR)來篩選符合住戶需求的個案及廠商，再經由資料包絡分析法(DEA)來評估廠商的效率。藉由這些方法，一方面可解決資訊不對稱及不透明的問題，另一方面住戶可有效選擇符合他們需求的最佳整建廠商。

With lower demands of new-building houses and the change of Taiwan social structure, the housing refurbishment market has grown greatly for the past few years. Refurbishment works have quite complicated characteristics that easily cause asymmetric and opaque information between contractors and tenants in a refurbishment process. Tenants select contractors are mostly based on word-of-mouth referrals or only on the cost. Therefore, it is ineffective to select the refurbishment contractor according to their customization needs. This study proposes a systematic decision support approach to select contractors by using case-based reasoning (CBR) and data envelopment analysis (DEA). With this intelligent approach, tenants can select an optimal refurbishment contractor according to their customization needs to solve refurbishment asymmetric and opaque information problems.

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