設計者在規劃階段須將業主之需求項目，具體而明確地呈現，以作為設計的依據。然而業主對於需求項目的表達，往往是一連串的語意描述詞，如光線要明亮，而且需求項目之重要性及相關性亦無法表示。此外，一個完整的設計方案是由眾多的設計要素構成，而各設計要素又可分為不同的選項。因此有必要建立能將業主需求項目系統地明確呈現，而且得以尋求最佳設計組合的工程設計決策模式。
　　在過去與專案規劃設計相關的研究中，品質機能展開(Quality Function Deployment, QFD)可以有效地解決多變數決策問題。然而QFD在運作過程中，具有許多主觀的評估，這些不精確的資訊不適用傳統的量化方法。此外，以往的研究沒有考量設計要素之間的複雜模糊關係，且在對於設計決策方案，並沒有進行最佳化。
　　這些問題造成QFD在應用上的受限，本研究利用全面品質管理中之品質機能展開觀念結合模糊理論及基因演算法，建構一系統化的業主需求分析模式。首先將業主對於工程之需求，轉化成品質屋(House of Quality, HOQ)中的需求項目(WHAT)，考量設計要素間之相關性後，透過HOQ計算各設計方案之目標值。接著利用基因演算法求解出滿足業主需求之最佳方案(HOW)。
　　研究成果顯示：(1)利用模糊層級分析法(AHP)可將業主之需求明確定義並加以量化。(2)根據品質屋之運作模式可完整的考慮設計要素之間的模糊關係，並且求得相對應之設計決策方案。(3)在不同的設計組合中，求解最佳之工程設計方案。藉由本研究提出之模式，業主需求項目得以系統化的方法呈現於工程設計要素上，得到最能滿足業主需求之決策。

　　During the conceptual phase of the engineering design, the designers usually need to fully understand the client’s requirements and then transforms these needs into concrete design specifications. For example, the classroom room needs sufficient illumination. However, such a transformation process is not systemized and usually 　performed through dialogs, which are hard to be quantized. In addition, the importance and relationships between the client’s requirements should be well defined. As a result, a complete design project is made up of several design characteristics, and each design characteristic may be composed of different ways to complet. Therefore it is essential to develop an engineering design decision process to illustrate client’s requirements clearly and seek the optimum design alternative.
　　In the past research, quality function deployment (QFD) can be used to solve the multi-attributes decision problems efficiently. However there are a lot of subjective judgments in the QFD process and the traditional quantification method can not be applied to the process with imprecise information. Besides, present research did not well consider the relationship between design characteristics, and also didn’t optimize design alternative.
　　The above difficulties will limit the application of QFD. This thesis combines QFD developed from total quality management and Genetic Algorithm to model an client’s requirements. At first, a 2D matrix (HOQ) that displays the customer’s needs, also referred to as the ‘‘WHAT’’, is developed to define the relationship between design characteristics, and evalue the values of the design alternatives. And then a systematic process that optimized the best design alternative is performed.
　　The contributions of this thesis are: (1) Using fuzzy analytic hierarchy process (FAHP) can define and quantify the client’s requirements clearly. (2) A QFD process can consider the relationship between design characteristics completely and find the corresponding design alternative. (3) The best design alternative that satisfies the client’s requirements can be found.

英文部份
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中文部分
22.王文俊，認識Fuzzy，全華科技圖書股份有限公司，民國86年。
23.江榮裕，「建築設計衝突點之系統化呈現」 :/以中小學校協同教學空間的設計為例，國立成功大學建築研究所碩士論文，民國90年。
24.汪仲祥，模糊層級分析法應用於IC產業政策選取之研究，國立中山大學公共事務管理研究所碩士論文，民國92年。
25.赤尾洋二，中國生產力中心QFD研發小組編譯，新產品開發品質機能展開之實務應用，中國生產力中心，台北。
26.林澤森，設計決策類型與支援系統之設計，國立成功大學建築研究所碩士論文，民 國81年。
27.建築設計資料集成，日本建築學會，，台隆書店，台北，民國86年。
28.徐世輝，全面品質管理，華泰文化事業，民國88年。
29.莫國箴，建築設計條件訊息傳遞對建築師認知效果影響之研究以大學圖書館為例， 國立台灣大學土木工程學研究所，民國92年。
30.翁明珠、「品質決策之模糊數學模式」，成功大學工業管理博士論文，民國92年。
31.劉育東，「建築設計過程中的幾個特徵」，空間雜誌第78期，民國85年。
32.簡聰海，全面品質管理，高立圖書有限公司，民國87年。