模糊属性值的规范化是模糊多属性决策分析中的一个基础性问题。
Normalizing of fuzzy attribute values is a basic in fuzzy multiple attribute decision making.
应用多属性决策分析中的一种改进排列法，建立了数学模型，并验证了其可行性。
A corresponding mathematical model by applying an improved permutation method of multi-attribute decision analysis is established, and the practical calculation shows the method is feasible.
为了从有偏好信息但信息不完全的多属性决策系统中获取概率决策规则，提出一种新的不完全信息的多属性粗糙决策分析方法。
In order to discover probabilistic decision rules in preferential multiple attribute decision system with incomplete information, an extension of the rough sets model is proposed in the paper.
针对有偏好信息但信息不完全的多属性决策问题，给出了一种基于拓展粗糙集的决策分析方法。
In this paper, a decision analysis method based on extension of the rough sets is proposed to multi_attribute decision making problems with preferential and incomplete information.
针对有偏好信息但信息不完全的多属性决策问题，给出了一种基于拓展粗糙集的决策分析方法。
In this paper, a decision analysis method based on extension of the rough sets is proposed to multi_attribute decision making problems with preferential and incomplete information.
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