近幾年來，有許多方法根據模糊集合理以處理模糊多屬性群體的決策問題方法被提出。因為模糊集合理論可以藉由語意有效的敘述不精確的知識或人類主觀的判斷，其可以幫助決策者做決策。在本論文中，我們根據模糊偏好關係及FIOWA運算子提出兩個方法以處理模糊多屬性群體決策問題。在本論文所提之第一個方法中，我們提出FIOWA運算子以處理模糊多屬性群體決策問題的新方法。由於FIOWA運算子是比較有彈性的，其可以在OWA Pairs上都使用模糊集合來表示，因此我們根據FIOWA運算子所提之作模糊多屬性群體決策的方法比目前以存在的方法更具彈性。在本論文所提之第二個方法中，我們根據模糊偏好關係以處理模糊多屬性群體決策問題。我們所提之方法能比目前已存在之方法更簡單及更具彈性的處理模糊多屬性群體決策問題。

In recent years, many methods have been presented to deal with fuzzy multi-attributes group decision-making problems based on fuzzy sets. Because fuzzy sets can effectively describe imprecise knowledge or human subjective judgment by linguistic terms, it can be used to help decision-makers make decisions.
In this thesis, we present two new methods for fuzzy multiple attributes group decision-making based on fuzzy preference relations and FIOWA operators, respectively. In the first method, we present a new method to hand fuzzy group decision-making based on fuzzy induced OWA operators. The proposed FIOWA operators are more flexible than the existing methods due to the fact that the order inducing variables and the argument variables in the OWA pairs can be represented by fuzzy sets. The proposed method can handle fuzzy multiple attributes group decision-making problems based on FIOWA operators in a more flexible manner than the existing methods. In the second method, we present a new method to handle fuzzy multiple attributes group decision-making based on fuzzy preference relations. The proposed methods can provide us with useful ways to handle fuzzy multiple attributes group decision-making problems in a more flexible and simpler manner than the existing methods.

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