This paper has investigated multiattribute decision makings with weights unknown prior, and established a new method which is the minimum weighted deviation optimum seeking.
本文研究了目标权重未事先确知的多目标优选问题，提出了一种新的最小加权偏差优选方法。
For the problems of fuzzy comprehensive evaluation, an improved method is proposed which is based on the deviation method of minimum membership degree with weighted proportional means.
针对已有模糊综合评判方法存在的问题，提出了一种基于最小隶属度加权平均偏差法的改进方法。
Meantime, these rational condition are test by sum-weighted preference-deviation mapping.
同时，就群体加权和偏差映射对这些理性条件进行了检验。
In the first model users' generalized travel cost are assumed to be weighted sum of the standard deviation and the mean travel time, and users have perfect knowledge of the road network condition.
在第一种模型中，假定出行者的广义出行费用定义为平均行程时间和行程时间均方差的线性加权和，同时出行者能够正确认识自己的广义出行费用。
In the first model users' generalized travel cost are assumed to be weighted sum of the standard deviation and the mean travel time, and users have perfect knowledge of the road network condition.
在第一种模型中，假定出行者的广义出行费用定义为平均行程时间和行程时间均方差的线性加权和，同时出行者能够正确认识自己的广义出行费用。
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