商業空間必須具備吸引顧客及創造營利的基本條件，所以在傳統商業空間的外觀及室內裝飾的設計理念，大多呈現華麗與過度裝飾的現象，同時依照不同的商業屬性，以及經營者喜好與設計師的專業風格，推陳出新各式各樣的商業特色空間，且在實體裝修過程更造成多元複合式的環境污染問題，如隔間牆打除的廢棄污染與噪音污染、使用高耗能裝飾材、高耗能照明設備、裝飾塗料污染及高耗能的空調設備等。由於全球環境污染造成氣候變遷，已經導致生物多樣化的危機，同時亦危及人類的生命財產，加上目前尚無法有效抑制高溫室氣體排放的污染問題。有鑑於此本研究以庭園商業空間的節能設計議題，並提出一套節能設計的評估模式，在研究上結合德菲法(Delphi method),層級分析(AHP, analytic hierarchy process)及模糊邏輯理論(fuzzy logic theory)三套方法論，建構一套多準則的商業空間綠能設計輔助決策模式，並以庭園咖啡館的空間綠設計為例，說明模型在應用上具有高度的客觀性及高度適應性，同時藉由國際競賽獲獎案例驗證本模型具有實務輔助決策的參考價值。

Commercial space features essential characteristics of attracting clients and creating profits; thus, the exterior and interior designs of conventional commercial space were often made to look grandiose and overdecorated. Over time, according to commercial attributes, operator preferences, and style of the designer, commercial spaces have constantly undergone renovation into varied styles. However, the physical renovation process has caused multiple and composite types of environmental pollution, such as waste and noise pollution caused by breaking of walls or partitions, and decorative paint pollution, as well as the use of high-energy-consuming lighting equipment, air-conditioning systems, and decorative materials. Global pollution has caused climate change, endangering living organisms and human life. Furthermore, no effective method exists to control the problem of high greenhouse gas emissions. Therefore, this study used energy-saving design concerns of a garden-type commercial space to propose an energy-saving evaluation model. The study combined three methodologies, the Delphi method, analytic hierarchy process, and fuzzy logic theory, to construct a multi-criteria decision support system for designing green commercial spaces, and used the green spatial design of a garden café as an example to illustrate the high objectivity and adaptability of the proposed model in practical application. The study also used an international award-winning case to validate that the proposed model had practical value as a reference to support key design decisions.

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