1) sub-region weight
子区权重
1.
Determining the sub-region weight coefficient is a complex and important task in optimal allocation of regional water resources.
子区权重系数的确定是区域水资源优化配置中一项复杂而又重要的工作。
3) Region weight
区域权重
4) distinguish weight
区分权重
1.
This paper sets up a unascertained comprehensive evaluation model on index distinguish weight,we applied the model further to evaluate the water pollution of Fuyang River comprehensively.
分析了指标对区分样本所属类别所作贡献的大小,定义了指标的区分权重。
5) interval weight
区间权重
1.
To make the solution be more flexible, an interval weight vector is obtained, which is achieved through linear programming method in this paper.
为使结果更具柔性,考虑求解判断矩阵的区间权重向量。
2.
In this paper, a new method for the calculating weights in the uncertain interval judgment matrix is proposed, and the interval weight of alternatives are obtained by solving a program problem.
对不确定性区间判断矩阵的权重计算问题进行了研究,给出了一种新的权重计算方法,通过求解一个规划问题得到了各方案的区间权重。
3.
The weights of the four factors are evaluated with the method of interval weight and finally the paper uses the decision theory to determine which route should be chosen in multi-modal transportation.
在分析选择国际多式联运线路时所需考虑因素的基础上,将运输费用、运输时间、运输方便性和运输质量作为最为重要的四个因素,运用区间权重法,求解出这四个因素在运输中所占的权重,最后根据决策论的方法决定货物运输应如何选择多式联运线路。
6) weight factor
权重因子
1.
Revision on solution of the renormalization group for Ising model with weight factor;
利用权重因子修正伊辛模型重正化群解
2.
Meanwhile,quasi-weight factors for classification were adopted to resolve problems of classification error due to imbalance of sample types and numbers.
介绍了支持向量机算法的原理,建立了基于支持向量机的水质评价多层次分类检测模型,通过提取水质评价标准中的物质成分为特征参数,利用几个SVM分类器的串联组合,实现对水质的分类和识别,同时,引入类权重因子,解决训练样本类别数量不平衡而导致的错分问题,实验结果显示该方法提高了水质评价的准确性和效率。
3.
This algorithm is simple and independent of initial states, the value of weight factor can be self adaptively decided.
该算法操作简单 ,与初始状态无关 ,并且很好地解决了权重因子的自适应取值问题 。
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