群體決策是一個重要的研究課題，近年來，有些根據模糊偏好關係的群體決策方法被提出。在某些情況，模糊偏好關係中的值可能是未知或不確定，於是有些用來計算不完整模糊偏好關係中未知值或不確定的值的方法被提出。近年來，已有一些根據不完整模糊偏好關係來作群體決策的方法被提出。在本篇論文中，我們根據模糊偏好關係與一致性矩陣提出了兩個新的群體決策方法。在本論文的第一個方法中，我們根據加法一致性及有序一致性之一致性程度提出一個新的方法以處理不完整模糊偏好關係之群體決策問題。在本論文的第二個方法中，我們根據區間模糊偏好關係及一致性矩陣提出一個新的方法以處理根據群體建議的群體決策問題。在本論文中所提之兩個群體決策均能提供我們有用的方法以處理群體決策問題。

Group decision making is an important research topic. In recent years, some group decision making methods based on fuzzy preference relations have been presented. Because there may be situations where some values in preference relations may be unknown or incomplete, some methods have been presented to estimate the unknown or incomplete values in incomplete fuzzy preference relations. In recent years, some group decision making methods based on incomplete fuzzy preference relations have been presented. In this thesis, we present two new methods for group decision making based on fuzzy preference relations and consistency matrices. In the first method of this thesis, we present a new method for group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency with consistency degrees. In the second method of this thesis, we present a new method for group decision making using group recommendations based on interval fuzzy preference relations and consistency matrices. The two new methods presented in this thesis provide us with a useful way for dealing group decision making problems.

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