New method for uncertain multi-attribute decision making problems
New method for uncertain multi-attribute decision making problems
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发表时间：
2002
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通讯作者：
Xu Ze-shui
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作者：
Xu Ze-shui
研究了属性权重信息完全未知且属性值为区间数的具有方案偏好信息的不确定多属性决策问题，并给出了基于偏差度的推导公式。给出了一种基于可能度的方案排序方法，该方法能充分利用归一化模糊评价信息，最后通过算例验证了该方法的可行性和有效性。
This paper studies uncertain multi-attribute decision making problems with preference information on alternatives,in which information on attribute weights is unknown completely and attribute values are interval numbers,and presents a formula based on deviation degree for deri- ving attribute weights.A new method based on possibility degree is given to get the priorities of alternatives.The method can sufficiently utilize the normalized fuzzy evaluation information and meet the requirements of decision-maker,and can also be performed on computer easily.Finally,a numerical example is given to show the feasibility and effectiveness of the developed method.