本論文旨在根據區間值直覺模糊值之得分函數及正規化分數矩陣提出一個多屬性決策之新方法。首先，我們根據我們所提之區間直覺模糊值之得分函數以計算決策矩陣中各區間直覺模糊值的得分值以建構分數矩陣。然後，我們根據所得到之分數矩陣以建構正規化分數矩陣。然後，我們計算每個屬性之區間值直覺模糊權重之最佳權重。然後，我們根據所得到之正規化分數矩陣及所得到之各屬性區間值直覺模糊權重之最佳權重以建構加權正規化決策矩陣。然後，我們根據所得到之加權正規化決策矩陣以計算每個方案的加權分數。最後，我們根據每一個方案的加權分數對每一個方案進行排名。如果該方案的加權分數越大，則該方案的偏好順序越好。我們所提之多屬性決策方法克服了目前已存在之多屬性決策方法的缺點。我們所提之多屬性決策方法在區間值直覺模糊環境中提供了一個非常有用的方法以處理多屬性決策問題。

In this thesis, we propose a new multiattribute decision making method based on the proposed score function of interval-valued intuitionistic fuzzy values and normalized score matrices. Firstly, the proposed method computes the score value of each interval-valued intuitionistic fuzzy value in the decision matrix based on the proposed score function of interval-valued intuitionistic fuzzy values to build the score matrix. Then, it builds the normalized score matrix based on the obtained score matrix. Then, it calculates the optimal weight of the interval-valued intuitionistic fuzzy weight of each attribute. Then, based on the obtained normalized score matrix and the obtained optimal weight of the interval-valued intuitionistic fuzzy weight of each attribute, it builds the weighted normalized decision matrix. Then, based on the obtained weighted normalized decision matrix, it computes the weighted score value of each alternative. Finally, it ranks the alternatives based on the weighted score values of the alternatives. The larger the weighted score value of an alternative, the better the preference order of the alternative. The proposed multiattribute decision making method conquers the shortcomings of the existing multiattribute decision making methods. It provides a very useful way to us to deal with multiattribute decision making problems in interval-valued intuitionistic fuzzy environments.

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