決策在進行評估的過程中，評估意見通常包括了評估者自己的主觀意識，而專家在表示偏好或評估值時，常會因自身的習慣或思考模式不同而運用不同的評估方式。評估過程在個人主觀因素的影響下，使得判斷時有著複雜性與不確定性因素的存在，亦經常有模糊性的詞語，例如：「很好」、「很差」、「普通」。本研究將探討在不確定環境下的群體決策模型，如何將異質資訊整合運算，並應用於產品設計要素之評估。
產品設計常被視為解決問題的方法或是在市場中的嘗試與機會，而一家公司如何在有限的資源下將產品設計導入商業模式並獲利將是一項重要課題。針對以上問題，本研究先將產品設計之各要素分類，並運用直覺式模糊集合之概念於產品設計要素的評估問題中，直覺式模糊集合有著同意、不同意之歸屬度，因此在應用上能夠較傳統的模糊集合得到更多資訊，其後將各專家所使用之異質評估資訊整合為同一表達方式，藉由此方法建構出評估表後，再將各評估值進行整合計算，最後運用評分方程式將各項評估值轉為單一數值以利比較，輔助評估並進而決定產品設計之最重要要素。

In the process of conducting decision-making, usually decision makers would measure alternatives based on their own subjective opinion. However, experts often use different ways to evaluate their preference due to their different styles. Among the evaluation process, the factor of personal subjective toward measurement would bring about complexity and uncertainty, for example, the vague terms “Very Good”, “Very Bad”, “Ordinary” would make judgments more complicated. The aim of this study is to propose a group decision-making model in fuzzy environments which can integrate heterogeneous information. Finally it will apply to a product design factor evaluating problem.
Product design is an opportunity for differential advantage or solving problem in marketplace. How to lead product design into business model with limited resource and also make profit is an important issue. Therefore this study will categorize product design factors and evaluate them by intuitionistic fuzzy sets. Intuitionistic fuzzy sets which have membership function and non-membership function, thus they could involve more information than traditional fuzzy sets. After that, this study integrates all the experts’ heterogeneous measurements into homogeneous expression. Next, this study transforms all the measurements into numeric values which in easier for decision-makers to compare by score function. Finally, we could decide which product design factor is the most important.

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