1) nature of weight
权重性
1.
The retarded factors forming the current position are represented in three analyzed dimensions such as source of reason, nature of weight and rate of displacement.
构成其现实地位的各种弱势因素表现为原因源、权重性和置换率等三个分析维度。
2) importantportion
重要性权重
3) inertia weight
惯性权重
1.
Research advances on inertia weight in particle swarm optimization;
粒子群优化算法中惯性权重的研究进展
2.
Modified particle swarm optimizer using non-linear inertia weight;
一种非线性改变惯性权重的粒子群算法
3.
Particle swarm optimization with self-adaptive stochastic inertia weight;
具有自适应随机惯性权重的PSO算法
4) superior weight
优性权重
1.
After introduction of the conventional multi-objective fuzzy optimal-selection model and the improved model based on the effective coefficient, the concept of superior weight was put forward, and a corresponding model was developed.
在传统多目标模糊优选模型和基于影响度因子改进模型的基础上,提出了优性权重的概念,并建立了相应的改进模型。
5) character weight
性状权重
1.
Based on 8 main characters from surveyed plus trees in natural seedling stand of Quercus mongolica in the middle east of Jilin province, comprehensive grading criteria and minimal mark for selected trees were formulated by character weight.
利用吉林省中东部蒙古栎天然实生林优树 8个主要性状的实测材料 ,根据性状权重制定了综合评分标准及优树入选的最低分数限 ,经对原优树复选检验 ,选优效果良好 ,且评选的优树能够保质保
6) attribute weight
属性权重
1.
The attribute weight and weighted support of default regular are defined by using the conditional entropy and a mining algorithm of default regulars are given for inconsistent database.
针对不一致数据库,定义属性权重及缺省规则加权支持度概念,在此基础上给出一种缺省规则挖掘算法。
2.
With respect to the problem of multiple attribute decision-making with incomplete information on attribute weights to which the attribute values are given in terms of interval numbers, a modified TOPSIS (technique for order preference by similarity to ideal solution) analysis is proposed.
针对属性权重信息不完全且属性值以区间数形式给出的多属性决策问题,提出了一种逼近于理想点(TOPSIS)的决策分析方法。
3.
With regard to the problem of determining attribute weights in uncertain multiple attribute decision making, in which the attribute values are in form of interval number, a new method is proposed to determine interval entropy weights.
针对属性值以区间数形式给出的不确定性多属性决策中确定属性权重的问题,提出了一种区间数熵权的确定方法·依据多属性决策中传统熵权确定方法的思路,首先,通过构建两个最优化模型,求得区间熵;然后根据传统熵权确定公式及区间数运算法则得到以区间数形式表示的属性熵权·该方法具有概念清晰、实用的特点,得出的属性熵权能够较好地反映各属性信息的差异程度·最后通过一个算例说明了该方法的实用性和有效性
补充资料:因侵害姓名权、肖像权、名誉权、荣誉权产生的索赔权
因侵害姓名权、肖像权、名誉权、荣誉权产生的索赔权:公民、法人的姓名权、名称权,名誉权、荣誉权、受到侵害的有权要求停止侵害,恢复名誉,消除影响,赔礼道歉,并可以要求赔偿损失。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条