台灣為地狹人稠的已開發國家，在經濟起飛後的現今，適合居住的土地開發已呈現飽和狀態，可再開發之土地銳減；再加上薪資結構改變與少子化的社會趨勢，新建住宅需求量逐漸降低，舊建築物延續使用的機率陡升；故延長建築生命週期且隨時代進步而改善居住品質，已為整個建築產業的發展趨勢。整建經常遭遇的問題：消費者與廠商之間資訊的不對稱、住宅整建資源未有效利用及整建方案少永續性考量。本研究目的將針對上述問題，提出有效的診斷與修復決策建議方法，解決住宅整建所遭遇的困難。為了可以在短時間內求得資源分配較佳解，所以採用基因演算法。過程中將探討住宅構件老化與劣化判斷、構件修復技術與促進住宅永續等議題，透過四個研究步驟(文獻蒐集與調查、專家訪談、決策較佳求解法、個案分析)，以建立一套診斷與修復決策建議方法，提供住戶作為住宅整建時的參考。此決策支援系統是以住宅整建現況評估表、住宅整建修復技術表及最佳化程式運算介面等方式呈現，藉以幫助消費者在整建時作為決策依據。

Taiwan has moved toward a developed country. With the economic development and the limited usage of lands, as well as the change of social structure, the demands of new construction are increasingly decreased. How to extend the life cycle of housing and improve its living quality have become major trends in the construction industry. In a refurbishment process, residents usually face some problems, such as asymmetrical refurbishment information, ineffective resource allocation and unawareness of sustainability. This research proposes a decision support system (DSS) for housing diagnosis and refurbishment improvement strategies. By using genetic algorithm (GA), the system can effectively provide satisfactory solutions for residents who are willing to do refurbishment jobs.

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